وظائف لخريجي كلية العلوم في المغرب

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br>Company Description<br><br><p><strong>About AbbVie</strong></p><br><p>AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at&nbsp;www.abbvie.com. Follow @abbvie on&nbsp;LinkedIn,&nbsp;Facebook,&nbsp;Instagram,&nbsp;X&nbsp;and&nbsp;YouTube.</p><br><br>Job Description<br><br><p>Performs functions associated with cGMP manufacturing operations within the biologics production facility, including working with engineers in set-up and calibration tasks, as well as performing rework and quality testing related to the production of parts, components and final materials. Uses sophisticated programs (such as LIMS, SAP, automated control systems, etc.) to collect and evaluate operating data, which can be used to conduct on-line adjustments to products, instruments or equipment. Determines and may assist in developing methods and procedures to control or modify the manufacturing process.</p><br><p>Responsibilities</p><br><ul><li>Shipping finished materials</li><li>Maintaining inventory levels</li><li>Sampling of in process and raw materials</li><li>Running glass washer / autoclave</li><li>Buffer / media preparation</li><li>Equipment preparation (CIP/SIP)</li><li>Cell culture (from vial thaw to production scale)</li><li>Column chromatography</li><li>Tangential flow filtration</li></ul><br>Qualifications<br><br><ul><li>Associates degree in science (or equivalent experience), with 4+ years area specific relevant experience. Bachelor's Degree with 2+ years area specific relevant experience.</li><li>Has substantial understanding of the job and applies knowledge and skills to complete a wide range of tasks.</li><li>Works on assignments that are moderately difficult, requiring judgment in resolving issues or in making recommendations.</li><li>Normally receives little instruction on daily work, general instructions on newly introduced assignments.</li><li>May be informal team leader.</li></ul><br>Additional Information<br><br><p>Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or&nbsp;local law:&nbsp;​</p><br><ul><li><p>The compensation range described below is the range of possible base pay compensation that the Company&nbsp;believes in&nbsp;good faith it will pay for this role atthe&nbsp;time&nbsp;of&nbsp;this posting based on the job grade for this position.&nbsp;Individual&nbsp;compensation paid within this range will depend on many factors includinggeographic&nbsp;location,&nbsp;and&nbsp;we&nbsp;may&nbsp;ultimately&nbsp;pay&nbsp;more or less than the posted range. This range may be&nbsp;modified&nbsp;in the&nbsp;future.&nbsp;​</p><br></li><li><p>We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick),&nbsp;medical/dental/vision&nbsp;insurance and 401(k) to eligible&nbsp;employees.​</p><br></li><li><p>This job is eligible to&nbsp;participate&nbsp;in our short-term incentive&nbsp;programs.&nbsp;​</p><br></li></ul><p>Note: No amount of pay&nbsp;is considered to be&nbsp;wages or compensation until such amount is earned, vested,and&nbsp;determinable.&nbsp;The&nbsp;amount&nbsp;and&nbsp;availability&nbsp;of any&nbsp;bonus,&nbsp;commission, incentive, benefits, or any other form of&nbsp;compensation and benefits&nbsp;that are allocable to aparticular employee&nbsp;remains&nbsp;in the Company's&nbsp;sole&nbsp;and&nbsp;absolute&nbsp;discretion unless and until paid and&nbsp;may be&nbsp;modified&nbsp;at the Company’s sole and absolute discretion,consistent with&nbsp;applicable law.&nbsp;</p><br><p>AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.&nbsp;</p><br><p>US &amp; Puerto Rico only - to learn more, visit&nbsp;https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html</p><br><p>US &amp; Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:</p><br><p>https://www.abbvie.com/join-us/reasonable-accommodations.html</p><br> </div>

<p>A leading British international school in Casablanca is looking for an experienced and enthusiastic IGCSE Computer Science Teacher to join its team for the end of August 2026 .</p><p>The successful candidate will teach Computer Science at IGCSE level , inspiring students to develop their computational thinking, problem-solving and programming skills while preparing them effectively for their examinations.</p><p><strong>Key Responsibilities</strong></p><ul><li>Teach Computer Science at IGCSE level</li><li>Plan and deliver engaging, student-centred lessons</li><li>Support students in developing programming, algorithmic thinking and problem-solving skills</li><li>Prepare students effectively for IGCSE examinations</li><li>Assess student progress and provide constructive feedback</li><li>Contribute positively to the wider academic life of the school</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Degree in Computer Science, Computing, Education or a related field</li><li>Recognised teaching qualification</li><li>Previous experience teaching IGCSE Computer Science</li><li>Strong knowledge of the IGCSE Computer Science curriculum</li><li>Excellent English communication skills</li><li>A passion for teaching and supporting students to achieve their full potential</li><li>International or British curriculum experience is highly desirable</li></ul><p><strong>Job Requirements</strong></p><p>Want to stand out? Make sure your profile matches these job requirements to get your application noticed.</p><p>Eligible Candidates: Certified Teacher</p><p>Minimum Education: Bachelor</p><p>Teaching Experience: 2+ years</p><p>Licenses &amp; Certifications: Teaching Credential/License</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>Position:</strong> Head of Future Engineering Capability<br><strong>Reference:</strong> TS025<br><strong>Location:</strong> Warrington<br><strong>Arrangement:</strong> Permanent or Contract<br><strong>Work arrangement:</strong> Hybrid, 3 days in the office and 2 days working from home.</p><br><p>NUVIA UK's Technical Services &amp; Consulting department is fast growing with hybrid opportunities available up and down the country. We're striving to create a multidisciplinary team to offer our clients the best range of talent.</p><br><p><strong>BPSS clearance will be required at basic level. Prior clearance will not be transferable.&nbsp;</strong></p><br><p><strong>Role description:</strong></p><br><p>The purpose of the Head of Future Engineering Capability will be to drive the development of the Engineering and Technical Capability across Integrated Project Team.&nbsp; Acknowledging the intent for the business to remain a thin but intelligent and capable client, a structured approach to in-house technical capability, supported by a well-defined delivery supply chain is required.&nbsp; The Head of Future Engineering Capability is therefore responsible for developing and implementing all strategies and plans required to deliver a capable Technical Function.&nbsp; This implies developing and defining schemes for in-house forward-looking technical capability management (in support of an ultimate site licence application) and leading the technical specification of key contracting activities to build the required supply chain to deliver the programme.</p><br><br><p><strong>Key Responsibilities:</strong></p><br><ul><li>Setting the engineering strategy, then developing &amp; implementing the plans/activities required to deliver it that relate to technical capability.</li><li>Establishing the strategy and arrangements that allow the Technical Director to demonstrate the competence of the Technical Team at all times during project delivery, and as supported by key partnerships.</li><li>Specifying the capabilities of the key programme delivery partnerships including the Delivery Partner, Engineering Partner and Constructors.</li><li>Working closely with the other engineering leads to identify the scope of activities that will be delivered by each of the Partners.</li><li>Collaborating with other programme functions in the business to represent the engineering and technical interest in all procurement, commercial and organisational design activities.</li></ul><p><strong>Knowledge, Skills and Experience required:</strong></p><br><ul><li>Significant experience working and leading in a highly regulated industry on complex projects</li><li>A clear ability to set technical strategy and implement tactical solutions</li><li>An understanding of technical concepts, principles, and terminology relevant to the nuclear industry</li><li>Demonstrate familiarity with nuclear industry regulations, standards, and technical documentation best practices</li><li>Good writing and editing skills, with the ability to communicate complex technical information in a clear, accurate, and accessible manner</li><li>Good attention to detail and commitment to producing error-free documentation that meets industry standards</li><li>Strong interpersonal, communication and influencing skills to collaborate effectively with technical and non-technical stakeholders</li></ul><p><br><strong>Qualifications:</strong></p><br><ul><li>Bachelor’s degree in engineering, Science or a Related field, or equivalent experience</li><li>Chartered Member of a relevant technical institution</li><li>Must be able to obtain UK Security Clearance</li></ul><br><p><strong>Employee Staff Benefits:</strong></p><br><ul><li>8.5% Pension Contribution &amp; Life Assurance</li><li>Private Medical Scheme*</li><li>Employee Share Scheme</li><li>Salary Sacrifice Schemes: Electrical Vehicles, Technology and Cycle to Work</li><li>18 Weeks Full Maternity Pay* (+21w SMP)</li><li>25 days holiday (increasing to 28 days after 5 years’ service, 31 days after 10 years’ service)</li><li>Option to buy, sell and carry over up to 5 days annual leave per year</li><li>In partnership with trade unions</li><li>Personal Development &amp; Further Education Support</li><li>Long Service &amp; Recognition Awards</li><li>Free Employee Assistance Programme&nbsp;</li></ul><p>*After 1 year of service.</p><br><p>NUVIA UK - a subsidiary of VINCI construction - is an international company that operates across highly regulated sectors including Civil Nuclear and has a strong presence and history of delivery at nuclear sites in the UK and internationally.</p><br><p>NUVIA UK is a performance-driven company that is committed to the development of its people within a culture of safety, innovation, and excellence.</p><br><p>NUVIA UK is committed towards equality in employment.</p><br> <p><strong>Entity</strong></p><br> <p>NUVIA is a branch of VINCI, the world's largest integrated concessions and construction group. NUVIA is more specifically the nuclear entity of the VINCI Group and is involved in the entire life cycle of nuclear facilities, from new build to decommissioning, maintenance and operation. NUVIA is constantly growing, with more than 2700 employees worldwide. On average, 100 men and women join us every year. Now, more than ever, we are looking for new talent to support the group's growth.</p><br> <br> <br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong>Contexte</strong><p>Exploiter les données de l’entreprise pour améliorer la connaissance client, détecter des anomalies (fraude), optimiser la tarification ou automatiser des processus décisionnels.</p><br><strong>Missions</strong><ul><li>Collecter, nettoyer et préparer les données (SQL, scripts)</li><li>Réaliser des analyses exploratoires et des tableaux de bord</li><li>Concevoir et entraîner des modèles prédictifs ou de segmentation</li><li>Présenter les résultats aux métiers et proposer des actions</li><li>Collaborer avec les équipes Data Engineering et BI</li></ul><strong>Profil recherché</strong><ul><li>Bac+5 en data science, statistiques ou informatique</li><li>4 ans minimum d’expérience, avec un projet significatif dans l’assurance</li><li>Maîtrise des langages de programmation data (Python ou R)</li><li>Expérience en visualisation (outils BI) et en bases de données relationnelles</li></ul><strong>Compétences clés</strong><ul><li>Nettoyage et transformation de données</li><li>Modélisation statistique et machine learning</li><li>Communication et restitution auprès des métiers</li><li>Anglais professionnel</li></ul> <br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Exploit company data to improve customer knowledge, detect anomalies (fraud), optimize pricing, or automate decision-making processes.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Master's degree in data science, statistics, or computer science</li><li>Minimum 4 years of experience, with a significant project in insurance</li><li>Proficiency in data programming languages (Python or R)</li><li>Experience in visualization (BI tools) and relational databases</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Translate business and client requirements into data science approaches, AI workflows, and scalable technical solutions. Design, prototype, and productionize machine learning, LLM, and generative AI solutions with a focus on business value, reliability, and usability. Own the architecture of Retrieval-Augmented Generation (RAG) pipelines, including document processing, vectorization, semantic search, evaluation, and query optimization for enterprise use cases. Design and implement complex AI-powered features by integrating LLM APIs and services using frameworks such as LangChain or equivalent, with a focus on reliability, accuracy, and performance in production. Design, implement, and maintain Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and data sources, enabling context-aware and extensible AI solutions. Develop evaluation frameworks, monitoring approaches, and observability practices for LLM-powered systems to ensure quality, transparency, and continuous improvement. Apply advanced prompt engineering, embedding strategies, and vector database management techniques to improve the performance of AI solutions. Integrate AI outputs into analytical workflows, dashboards, reporting tools, and client delivery pipelines. Full-Stack Application Development: Design and contribute to the development of production-grade AI and data applications, primarily using Python and backend frameworks such as FastAPI. Build or support frontend interfaces using modern frameworks such as React, Next.js, or Vue to make AI and data products accessible to business users and clients. Collaborate with software engineers to define scalable application architectures, API standards, and integration patterns. Develop and maintain REST API integrations with third-party AI services, enterprise SaaS platforms, internal tools, and external data sources. Ensure that data science prototypes are translated into maintainable, secure, and scalable production solutions. Participate in code reviews, define technical best practices, and contribute to a high-quality engineering and data science culture. Cloud, Deployment &amp; MLOps: Support the containerization and cloud deployment of AI and data applications, preferably on Google Cloud Platform using GKE and Artifact Registry, while remaining adaptable to other cloud environments. Design and maintain CI/CD pipelines using GitHub Actions or equivalent tools to ensure reliable and repeatable releases. Apply MLOps and LLMOps practices to manage experimentation, deployment, monitoring, and continuous improvement of AI systems. Collaborate with engineering and infrastructure teams to ensure the reliability, scalability, and performance of production environments. Proactively identify performance bottlenecks in AI workflows, data pipelines, application layers, and infrastructure. Technical Leadership &amp; Collaboration: Lead applied AI and data science initiatives from discovery and prototyping through production deployment. Mentor junior data scientists, AI engineers, and developers on data science methods, AI integration, coding practices, and production readiness. Work closely with product teams, consultants, analysts, and non-technical stakeholders to ensure solutions are aligned with business needs. Define standards and best practices for AI solution design, evaluation, documentation, and delivery. Communicate complex technical concepts clearly to both technical and non-technical audiences. Qualifications: 4 to 6 years of experience in data science, AI development, applied machine learning, or related technical roles, with hands-on experience delivering production-grade AI or data products. Strong proficiency in Python, with experience using data science, machine learning, and AI libraries and frameworks. Solid full-stack development background, including experience with backend frameworks such as FastAPI and modern frontend frameworks such as React, Next.js, or Vue. Deep understanding of LLMs, RAG architectures, generative AI workflows, and production-grade AI service integration, including tools such as OpenAI, Gemini, LangChain, or equivalent. Proven experience designing and implementing Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and enterprise data sources. Experience building analytical workflows, dashboards, data pipelines, or AI-powered decision-support tools in a client delivery or enterprise context. Hands-on experience with Docker and cloud deployment on at least one major cloud platform such as GCP, AWS, Azure, or equivalent. Familiarity with container orchestration, artifact management, CI/CD pipelines, GitHub Actions, GitOps workflows, and branching strategies. Strong understanding of LLM observability, AI evaluation, performance monitoring, and production reliability practices. Demonstrated ability to lead technical initiatives, mentor junior team members, and collaborate effectively with product teams and business stakeholders. Bachelor s or Master s degree in Data Science, Computer Science, Software Engineering, Statistics, Applied Mathematics, or a related field. Preferred Skills: Experience with agentic AI frameworks such as LangGraph or similar orchestration tools for building multi-step AI workflows. Knowledge of advanced prompt engineering, vector database management, embedding model optimization, and AI evaluation techniques. Experience with MLOps or LLMOps practices, including experiment tracking, model monitoring, and AI quality evaluation. Experience with Infrastructure as Code tools such as Terraform or Pulumi. Experience designing data models, analytical pipelines, or BI/dashboard solutions. Relevant certifications such as Google Cloud Professional Data Engineer, Google Cloud Professional Machine Learning Engineer, Google Cloud Professional Developer, or similar cloud and AI credentials. What we offer: A competitive compensation and benefits package. The opportunity to lead AI, data science, and technology initiatives with real global impact. A dynamic and supportive work environment that values leadership, innovation, and your contributions. Continuous learning and professional development opportunities to propel your career forward in AI, data science, and technology. Application Process: Candidates are invited to submit a resume, cover letter, and any relevant portfolio, GitHub links, or project examples showcasing their experience in data science, AI solution development, full-stack application development, and cloud deployment. Shortlisted candidates will undergo a technical assessment and interview to demonstrate their data science expertise, AI implementation skills, full-stack capabilities, and technical leadership potential. Infomineo: Where brilliant minds meet to shape the future of business.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>4 to 6 years of experience in data science, AI development, applied machine learning, or related technical roles, with hands-on experience delivering production-grade AI or data products. Strong proficiency in Python, with experience using data science, machine learning, and AI libraries and frameworks. Solid full-stack development background, including experience with backend frameworks such as FastAPI and modern frontend frameworks such as React, Next.js, or Vue. Deep understanding of LLMs, RAG architectures, generative AI workflows, and production-grade AI service integration, including tools such as OpenAI, Gemini, LangChain, or equivalent. Proven experience designing and implementing Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and enterprise data sources. Experience building analytical workflows, dashboards, data pipelines, or AI-powered decision-support tools in a client delivery or enterprise context. Hands-on experience with Docker and cloud deployment on at least one major cloud platform such as GCP, AWS, Azure, or equivalent. Familiarity with container orchestration, artifact management, CI/CD pipelines, GitHub Actions, GitOps workflows, and branching strategies. Strong understanding of LLM observability, AI evaluation, performance monitoring, and production reliability practices. Demonstrated ability to lead technical initiatives, mentor junior team members, and collaborate effectively with product teams and business stakeholders. Bachelor s or Master s degree in Data Science, Computer Science, Software Engineering, Statistics, Applied Mathematics, or a related field.</p><p>Preferred Skills:</p><ul><li>Experience with agentic AI frameworks such as LangGraph or similar orchestration tools for building multi-step AI workflows.</li><li>Knowledge of advanced prompt engineering, vector database management, embedding model optimization, and AI evaluation techniques.</li><li>Experience with MLOps or LLMOps practices, including experiment tracking, model monitoring, and AI quality evaluation.</li><li>Experience with Infrastructure as Code tools such as Terraform or Pulumi.</li><li>Experience designing data models, analytical pipelines, or BI/dashboard solutions.</li><li>Relevant certifications such as Google Cloud Professional Data Engineer, Google Cloud Professional Machine Learning Engineer, Google Cloud Professional Developer, or similar cloud and AI credentials.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Job Description: Your responsibilities will include: Developing data pipelines. Processing large volumes of data. Optimizing processing performance. Maintaining Big Data platforms. Participating in support activities. Collaborating with Data teams.</font></font></p><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Qualifications: Master's degree (Bac+5) in Computer Science. Significant experience in Big Data. Required skills: Spark, Hadoop, Python, SQL, Kafka, Cloud.</font></font></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Master's degree (Bac+5) in Computer Science. Significant experience in Big Data. Required skills: Spark, Hadoop, Python, SQL, Kafka, Cloud.</font></font></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br>Company Description<br><br><p><strong>About AbbVie</strong></p><br><p>AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at&nbsp;www.abbvie.com. Follow @abbvie on&nbsp;LinkedIn,&nbsp;Facebook,&nbsp;Instagram,&nbsp;X&nbsp;and&nbsp;YouTube.</p><br><br>Job Description<br><br><p><strong>Job Description</strong></p><br><p>This role is field-based, and candidates should live within a reasonable distance from the primary city. <em>Talent will be hired at a level commensurate with experience.</em>&nbsp;</p><br><p><strong>This geography covers the areas surrounding:</strong>&nbsp;Worcester, Cambridge, &amp; Waltham, MA as well as Manchester and Concord, NH.</p><br><p>Execute brand strategy and tactics in field, sales performance, effectively manage assigned territory and targeted accounts, build strong customer relationships and customer needs solving capability to maximize short and long term sales performance placing the patient into the center of any efforts and operating within AbbVie’s business code of conduct, policies and all applicable laws and regulations.</p><br><p><strong>Responsibilities:</strong></p><br><ul><li>Deliver sales performance, brand KPIs, financial targets, marketing objectives, etc. in order to meet or exceed on those objectives.</li><li>Create pre-call plan using SMART objectives and execute post-call evaluation in order to continuously improve sales performance. Effectively handle objections, misunderstandings, concerns and consistently gain logical and reasonable calls to action in order to close on every sales call.</li><li>Proactively and continuously aspire to serve customer needs, customer expectations and challenges in order to build trusted customer relationships and to achieve win-win agreements between AbbVie and customers.</li><li>Develop and execute a call plan that achieves set call metrics and optimizes coverage and frequency to key customers in order to maximize access and sales opportunities.</li><li>Continuously build understanding on customer needs and expectations, territory market landscape, competitors, market segments/dynamics, accounts, disease, product, clinical and sales expertise and share this market intelligence information with in-field team, brand team and sales manager to achieve alignment, to anticipate environmental changes and challenges and to optimize brand strategy and its execution.</li><li>Differentiate AbbVie’s value proposition with health providers assigned and identify, develop and maintain disease state experts and speakers/advocates in order to maximize brand performance.</li></ul><br>Qualifications<br><br><ul><li>Bachelor’s degree in health, sciences, pharmacy or business-related field preferred or relevant and equivalent industry experience required</li><li>Relevant and equivalent industry experience required in lieu of a bachelor’s degree is at least five (5) years of experience with three (3) or more years of experience within the pharmaceutical/health/science industry preferred and a high school diploma/GED required</li><li>Proven track record of success in selling and solid presentation skills. Proactively identifies customer style / behavior and adapts quickly all aspects of selling approach. Offers innovative ideas and solutions to maximize business opportunities to address challenges. Provides impact with ideas for the larger organization and anticipates and responds to changes.</li><li>Influences others &amp; is viewed as a credible and respected role model and resource among peers. Builds collaborative partnership with district colleagues and matrix team, etc. Leads by example; consistently displays positive behaviors and peer coaching through changing and challenging environments.</li><li>Documented success in leadership and support role of increased responsibility at the district, region and/or organizational levels. Understands and leverages findings to develop sales strategies.</li><li>Preferred: Proven track record of success in sales performance within respective therapeutic areas. Commercial pharmaceutical industry experiences such as physician/account based selling, training, managed health care or marketing preferred. English language proficiency verbally and in writing (for all non-English speaking countries).</li><li>An essential requirement of your position is to satisfy all applicable health care industry representative (HCIR) credentialing requirements to gain and maintain entry into facilities and organizations that are in your assigned territory. You must also be in good standing and/or eligible to obtain these credentials.</li><li>These HCIR credentialing requirements may include, but are not limited to, background checks, drug screens, proof of immunization/vaccination for various diseases, fingerprinting and specific licenses required by individual state or cities. Please remember that you are solely responsible for ensuring that you satisfy all HCIR credentialing requirements and for any associated liability for failing to do so. AbbVie has resources available to you to help answer questions you may have.</li><li>Demonstrates in-depth scientific, therapeutic, product, and competitive knowledge and is recognized as an expert resource by all relevant stakeholders. Strong business acumen and proficient use of business tools; possesses strategic and critical thinking capabilities. Operates effectively in a matrix environment.</li><li>Driving a personal auto or company car or truck, or a powered piece of material handling equipment</li><li>Valid driver’s license: Ability to pass a pre-employment drug screening test and meet safe driving requirements.</li></ul><p>Key Stakeholders&nbsp;</p><br><ul><li>External: Specialty Physicians in Therapeutic brand area, pharmacists, nurses, others depending on brand plan.</li><li>Internal: In-field team members, Sales Management (i.e. DSM), Marketing Management, Training, Customer Excellence, &amp; Brand Plan stakeholders</li></ul><br>Additional Information<br><br><p>​Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or&nbsp;local law:&nbsp;​</p><br><ul><li>The compensation range described below is the range of possible base pay compensation that the Company&nbsp;believes in&nbsp;good faith it will pay for this role at the&nbsp;time&nbsp;of&nbsp;this posting based on the job grade for this position.&nbsp;Individual&nbsp;compensation paid within this range will depend on many factors including geographic&nbsp;location,&nbsp;and&nbsp;we&nbsp;may&nbsp;ultimately&nbsp;pay&nbsp;more or less than the posted range. This range may be&nbsp;modified&nbsp;in the&nbsp;future.&nbsp;​</li><li>We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick),&nbsp;medical/dental/vision&nbsp;insurance and 401(k) to eligible&nbsp;employees.​</li><li>This job is eligible to&nbsp;participate&nbsp;in our short-term incentive&nbsp;programs.&nbsp;​</li></ul><p>Note: No amount of pay&nbsp;is considered to be&nbsp;wages or compensation until such amount is earned, vested, and&nbsp;determinable.&nbsp;The&nbsp;amount&nbsp;and&nbsp;availability&nbsp;of any&nbsp;bonus,&nbsp;commission, incentive, benefits, or any other form of&nbsp;compensation and benefits&nbsp;that are allocable to a particular employee&nbsp;remains&nbsp;in the Company's&nbsp;sole&nbsp;and&nbsp;absolute&nbsp;discretion unless and until paid and&nbsp;may be&nbsp;modified&nbsp;at the Company’s sole and absolute discretion, consistent with&nbsp;applicable law.&nbsp;​</p><br><p>AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.&nbsp;</p><br><p>US &amp; Puerto Rico only - to learn more, visit&nbsp;https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html</p><br><p>US &amp; Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:</p><br><p>https://www.abbvie.com/join-us/reasonable-accommodations.html</p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Mission and objectives</p><p>UNICEF was established in 1946 to supply emergency relief to millions of children suffering in the aftermath of World War II. The organization still functions to ease the suffering of millions of children in emergency situations across the world. UNICEF also focuses on the protection and promotion of child rights, working for the survival, protection, education and healthy development of every child.</p><p><br></p><p>At the crossroads of Europe, Africa and the Middle East, Morocco is a middle-income country but with a steadily growing economy. As a result, Morocco is seen by many member states as a strategic country given its geographical location, political stability and overall progress in human development resulting in member states main priorities shifting to expanding commercial and economic ties and de-prioritizing human capital investments.</p><p>It is in this context that UNICEF Morocco sees an opportunity to diversify sources of income and develop strategic partnerships with the private sector and its different stakeholders to reduce disparities, improve the situation of children and protect their rights. Globally, UNICEF recognizes the private sector as a vital partner in driving sustainable change for children. Through collaboration with multinational corporations and national companies UNICEF builds partnerships that combine financial support, innovation, and responsible business practices.</p><p><br></p><p>The interactions will take different forms ranging from mobilizing resources (corporate philanthropy), promoting positive changes in business practices through Corporate Social Responsibility (CSR), supporting programmes for children and encouraging innovations.</p><p>Context</p><p>The UNICEF Morocco Country Office is implementing a maternal and child health and nutrition project in the Béni Mellal-Khénifra region with implications for the national level and replication potential in other Moroccan regions. The project aims to improve access to and use of quality health and nutrition services during the critical first 1,000 days of life, with a particular focus on priority practices such as antenatal care, breastfeeding and complementary feeding. As part of this effort, the project includes a behavioural science component to better understand social and behavioural barriers, test hypotheses, design and implement behavioural experiments, generate evidence for scale-up and replication, and strengthen the capacities of national and local partners.</p><p><br></p><p>The UNV Specialist in Applied Behavioural Sciences will support this component under the leadership of the SBC Specialist, contributing to the practical application of behavioural science approaches within the maternal, infant and child health and nutrition programme and, more broadly, across UNICEF Morocco’s SBC portfolio.</p><p>Task description</p><p>Behavioural science and technical support</p><p><br></p><p> Support the SBC Specialist in the coordination and oversight of behavioural research and experimentation activities conducted by implementing partners.</p><p> Contribute to the design, development and implementation of behavioural experiments aimed at addressing priority social and behavioural challenges in health, nutrition and other UNICEF programme areas.</p><p> Support the identification of opportunities for additional behavioural experiments and testing initiatives that can generate practical evidence and strengthen the application of behavioural science approaches within UNICEF programming.</p><p> Review and provide technical inputs on behavioural research protocols, data collection tools, intervention materials, training materials and technical deliverables.</p><p> Contribute to the interpretation of behavioural evidence and findings, and support the translation of insights into programme recommendations.</p><p> Support the documentation of lessons learned, good practices and key findings from behavioural research and experimentation activities.</p><p><br></p><p>Capacity strengthening and knowledge management</p><p><br></p><p> Support the preparation and delivery of capacity strengthening activities on applied behavioural sciences, behavioural insights and social and behaviour change approaches.</p><p> Contribute to the development of practical approaches, tools and processes that help streamline and strengthen behavioural experimentation within UNICEF Morocco.</p><p> Support the production of briefs, presentations, reports and learning products on applied behavioural sciences and other SBC approaches.</p><p> Support the sharing of experiences, key findings and lessons learned from behavioural experiments and research activities to inform future behavioural science and SBC programming in Morocco and engage relevant internal and external stakeholders.</p><p><br></p><p>Operational support to the SBC section</p><p><br></p><p> Provide operational and programme support to the SBC section for the implementation of behavioural science and SBC activities.</p><p> Contribute to project monitoring, reporting and administrative follow-up as required.</p><p> Support other SBC programme activities and priorities as requested by the supervisor.</p><p><br></p><p><b>Benefits:</b></p><p><b>1. Pre-Assignment</b></p><p><b>Entry Lump Sum: USD 350</b></p><p><b>Relocation Allowance: USD 175 at the beginning and end of the assignment, provided the duty station is outside commuting distance, as determined by UNV.</b></p><p><br></p><p><b>2. During the Assignment</b></p><p><b>Volunteer Living Allowance (VLA): MAD 13,179.16 per month.</b></p><p><b>Learning and Training: Access to UNV learning and career development resources.</b></p><p><b>Annual Leave: 2.5 days per month.</b></p><p><b>Insurance: Comprehensive coverage for health, life, and malicious acts for the UN Volunteer, as well as health insurance coverage for up to three eligible dependents. Please refer to the Conditions of Service for detailed eligibility criteria.</b></p><p><br></p><p><b>3. End of Assignment</b></p><p><b>Exit Lump Sum: USD 120 for each month served, payable upon the successful completion of the assignment and contract.</b></p><p><br></p><p><b>Application deadline is on 09 July 2026</b></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p>Age</p><p>18 - 80</p><p>Required experience</p><p>3 years</p><p>Nationality</p><p>Candidate must be a national, legal resident or hold refugee status in the country of assignment.</p><p><br></p><p>Relevant experience</p><p>3 years</p><p>Languages</p><p>Arabic, Level: Fluent, Required</p><p>French, Level: Fluent, Required</p><p>English, Level: Fluent, Required</p><p>Required education level</p><p>Bachelor's degree in in behavioural science, psychology, social sciences, public health, anthropology, sociology, economics, development studies, communication for development, social and behaviour change, or another relevant field</p><p><br></p><p>Skills and experience</p><p>Minimum 3 years of relevant professional experience in applied behavioural sciences, social and behaviour change, public health, research, programme support, monitoring and evaluation, capacity strengthening or related fields.</p><p><br></p><p>a) Education, qualifications, skills, experience, areas of expertise:</p><p><br></p><p> Demonstrated knowledge of applied behavioural sciences, behavioural insights, social and behaviour change, human-centred design, implementation research or related approaches.</p><p> Experience supporting research, evidence generation, data collection, analysis and/or programme implementation.</p><p> Experience supporting the design, implementation or coordination of behavioural experiments, intervention testing or innovation initiatives is an asset.</p><p> Experience reviewing technical documents and providing inputs on research tools, intervention materials, training materials or analytical products.</p><p> Experience in maternal and child health, nutrition, community health or public health programmes is an asset.</p><p> Strong facilitation skills and experience supporting workshops, learning events or capacity strengthening activities.</p><p> Ability to work effectively in multidisciplinary teams and collaborate with diverse stakeholders.</p><p> Strong writing, documentation and reporting skills.</p><p> Strong coordination, organizational and follow-up skills.</p><p> Interest in innovation, experimentation and the practical application of behavioural science to programme challenges.</p><p><br></p><p>Considered an asset:</p><p> First international working experience.</p><p> Work experience with international organizations, including in Morocco.</p><p> Familiarity with the Béni Mellal-Khénifra region.</p><p><br></p></div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br>Company Description<br><br><p><strong>About AbbVie</strong></p><br><p>AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at&nbsp;www.abbvie.com. Follow @abbvie on&nbsp;LinkedIn,&nbsp;Facebook,&nbsp;Instagram,&nbsp;X&nbsp;and&nbsp;YouTube.</p><br><br>Job Description<br><br><p>Discovery Biotherapeutics and Genetic Medicine (BGM) at AbbVie is seeking a Lab Automation Engineer to support and advance innovation in laboratory process automation. In this role, you will help transform manual workflows into scalable, efficient, and high-quality automated systems while ensuring reliable performance of integrated laboratory instrumentation. You will contribute across the full lifecycle of assay automation and instrument integration, including concept development, requirements definition, protocol optimization, troubleshooting, and end-to-end validation. This role will have&nbsp;broad&nbsp;impact on biotherapeutic discovery efforts across AbbVie’s core therapeutic areas, including Immunology, Oncology, Neuroscience, and Aesthetics.&nbsp;</p><br><p><strong>Responsibilities:&nbsp;</strong></p><br><ul><li>Maintain and&nbsp;optimize&nbsp;Hamilton integrated high-throughput screening platforms to support standardized applications at scale.&nbsp;</li><li>Partner with laboratory scientists to conceptualize, define, and implement new high-throughput cell-based and in vitro assay automation solutions.&nbsp;</li><li>Design of CAD models&nbsp;for&nbsp;3D printing or&nbsp;custom vendor&nbsp;production&nbsp;delivering&nbsp;prototype and production parts.&nbsp;</li><li>Provide onboarding, training, and troubleshooting support to scientists using integrated automation platforms.&nbsp;</li><li>Implement and refine laboratory instrument software to enable efficient,&nbsp;scalable&nbsp;high-throughput sample processing.&nbsp;</li><li>Evaluate, pilot, and deploy new&nbsp;efficiency&nbsp;capabilities&nbsp;such as physical AI or autonomous science&nbsp;to continuously advance our laboratory operations.&nbsp;</li><li>Manage automation-related consumable inventories and track equipment performance.&nbsp;</li></ul><br>Qualifications<br><br><ul><li>Bachelor’s or Master's&nbsp;degree in Biomedical Engineering, Mechanical Engineering, Biotechnology, or a related field with typically 5-7+&nbsp;(BS) or 2-5+ (MS) years of experience</li><li>Proven experience&nbsp;operating&nbsp;and programming automated liquid handling platforms such as Hamilton (Venus), Dynamic Devices, and&nbsp;Opentrons, as well as other complex laboratory systems.&nbsp;</li><li>Strong working knowledge&nbsp;of in&nbsp;vitro functional and immunoassays, including ELISA, flow cytometry, cell-based potency assays, internalization assays, and related techniques.&nbsp;</li><li>Demonstrated&nbsp;proficiency&nbsp;in CAD design and production of custom system components.&nbsp;</li><li>Strong communication&nbsp;and collaboration skills with diverse internal and external stakeholders across scientific, engineering, and operational functions.&nbsp;</li></ul><p><strong>Preferred Qualifications&nbsp;</strong></p><br><ul><li>Experience managing vendors for large installations, including design reviews, FATs, SATs, and validation activities.&nbsp;</li><li>Demonstrated experience implementing orchestration across multiple system integrations.&nbsp;</li></ul><p><em>Position will be filled at level commensurate with extent of education, experience, and accomplishment - Scientist I or Scientist II</em></p><br><br>Additional Information<br><br><p>Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or&nbsp;local law:&nbsp;​</p><br><ul><li>The compensation range described below is the range of possible base pay compensation that the Company&nbsp;believes in&nbsp;good faith it will pay for this role at the&nbsp;time&nbsp;of&nbsp;this posting based on the job grade for this position.&nbsp;Individual&nbsp;compensation paid within this range will depend on many factors including geographic&nbsp;location,&nbsp;and&nbsp;we&nbsp;may ultimately pay more or less than the posted range. This range may be modified in the&nbsp;future.&nbsp;​</li><li>We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick),&nbsp;medical/dental/vision&nbsp;insurance and 401(k) to eligible&nbsp;employees.​</li><li>This job is eligible to participate in our short-term incentive&nbsp;programs. </li></ul><p>Note: No amount of pay&nbsp;is considered to be&nbsp;wages or compensation until such amount is earned, vested, and&nbsp;determinable.&nbsp;The&nbsp;amount&nbsp;and&nbsp;availability&nbsp;of any&nbsp;bonus,&nbsp;commission, incentive, benefits, or any other form of&nbsp;compensation and benefits&nbsp;that are allocable to a particular employee remains in the Company's&nbsp;sole&nbsp;and&nbsp;absolute&nbsp;discretion unless and until paid and&nbsp;may be modified at the Company’s sole and absolute discretion, consistent with&nbsp;applicable law.&nbsp;</p><br><p>AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.&nbsp;</p><br><p>US &amp; Puerto Rico only - to learn more, visit&nbsp;https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html</p><br><p>US &amp; Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:</p><br><p>https://www.abbvie.com/join-us/reasonable-accommodations.html</p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br>Company Description<br><br><p><strong>About AbbVie</strong></p><br><p>AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at&nbsp;www.abbvie.com. Follow @abbvie on&nbsp;LinkedIn,&nbsp;Facebook,&nbsp;Instagram,&nbsp;X&nbsp;and&nbsp;YouTube.</p><br><br>Job Description<br><br><p>Discovery Biotherapeutics and Genetic Medicine (BGM) at AbbVie is seeking a Lab Automation Engineer to support and advance innovation in laboratory process automation. In this role, you will help transform manual workflows into scalable, efficient, and high-quality automated systems while ensuring reliable performance of integrated laboratory instrumentation. You will contribute across the full lifecycle of assay automation and instrument integration, including concept development, requirements definition, protocol optimization, troubleshooting, and end-to-end validation. This role will have&nbsp;broad&nbsp;impact on biotherapeutic discovery efforts across AbbVie’s core therapeutic areas, including Immunology, Oncology, Neuroscience, and Aesthetics.&nbsp;</p><br><p><strong>Responsibilities:&nbsp;</strong></p><br><ul><li>Maintain and&nbsp;optimize&nbsp;Hamilton integrated high-throughput screening platforms to support standardized applications at scale.&nbsp;</li><li>Partner with laboratory scientists to conceptualize, define, and implement new high-throughput cell-based and in vitro assay automation solutions.&nbsp;</li><li>Design of CAD models&nbsp;for&nbsp;3D printing or&nbsp;custom vendor&nbsp;production&nbsp;delivering&nbsp;prototype and production parts.&nbsp;</li><li>Provide onboarding, training, and troubleshooting support to scientists using integrated automation platforms.&nbsp;</li><li>Implement and refine laboratory instrument software to enable efficient,&nbsp;scalable&nbsp;high-throughput sample processing.&nbsp;</li><li>Evaluate, pilot, and deploy new&nbsp;efficiency&nbsp;capabilities&nbsp;such as physical AI or autonomous science&nbsp;to continuously advance our laboratory operations.&nbsp;</li><li>Manage automation-related consumable inventories and track equipment performance.&nbsp;</li></ul><br>Qualifications<br><br><ul><li>Bachelor’s or Master's&nbsp;degree in Biomedical Engineering, Mechanical Engineering, Biotechnology, or a related field with typically 5+ (BS) or 2+ (MS) years of experience</li><li>Proven experience&nbsp;operating&nbsp;and programming automated liquid handling platforms such as Hamilton (Venus), Dynamic Devices, and&nbsp;Opentrons, as well as other complex laboratory systems.&nbsp;</li><li>Strong working knowledge&nbsp;of in&nbsp;vitro functional and immunoassays, including ELISA, flow cytometry, cell-based potency assays, internalization assays, and related techniques.&nbsp;</li><li>Demonstrated&nbsp;proficiency&nbsp;in CAD design and production of custom system components.&nbsp;</li><li>Strong communication&nbsp;and collaboration skills with diverse internal and external stakeholders across scientific, engineering, and operational functions.&nbsp;</li></ul><p><strong>Preferred Qualifications&nbsp;</strong></p><br><ul><li>Experience managing vendors for large installations, including design reviews, FATs, SATs, and validation activities.&nbsp;</li><li>Demonstrated experience implementing orchestration across multiple system integrations.&nbsp;</li></ul><br>Additional Information<br><br><p>Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or&nbsp;local law:&nbsp;​</p><br><ul><li>The compensation range described below is the range of possible base pay compensation that the Company&nbsp;believes in&nbsp;good faith it will pay for this role at the&nbsp;time&nbsp;of&nbsp;this posting based on the job grade for this position.&nbsp;Individual&nbsp;compensation paid within this range will depend on many factors including geographic&nbsp;location,&nbsp;and&nbsp;we&nbsp;may ultimately pay more or less than the posted range. This range may be modified in the&nbsp;future.&nbsp;​</li><li>We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick),&nbsp;medical/dental/vision&nbsp;insurance and 401(k) to eligible&nbsp;employees.​</li><li>This job is eligible to participate in our short-term incentive&nbsp;programs. </li></ul><p>Note: No amount of pay&nbsp;is considered to be&nbsp;wages or compensation until such amount is earned, vested, and&nbsp;determinable.&nbsp;The&nbsp;amount&nbsp;and&nbsp;availability&nbsp;of any&nbsp;bonus,&nbsp;commission, incentive, benefits, or any other form of&nbsp;compensation and benefits&nbsp;that are allocable to a particular employee remains in the Company's&nbsp;sole&nbsp;and&nbsp;absolute&nbsp;discretion unless and until paid and&nbsp;may be modified at the Company’s sole and absolute discretion, consistent with&nbsp;applicable law.&nbsp;</p><br><p>AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.&nbsp;</p><br><p>US &amp; Puerto Rico only - to learn more, visit&nbsp;https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html</p><br><p>US &amp; Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:</p><br><p>https://www.abbvie.com/join-us/reasonable-accommodations.html</p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <i>About Sanofi:</i>We’re an R&amp;D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives.<i>About the job</i>Accountable for ensuring Export Market Service Providers/Partners PV activities are compliant as per PVA and PV requirements in Tunisia and Libya, including promoting actions to make the partner raise to the required compliance levels if applicable.<b>CSH Main responsibilities:</b><ul><li>The face of the Patient Safety &amp; PV organization in Morocco, Tunisia &amp; Libya</li><li>Accountable for all PV related activities in Morocco, Tunisia and Libya &amp; ensures that the local PV teams are properly trained to manage these activities (when applicable)</li><li><span>Ensures inspection readiness of the PV system in the countries, serves as the <b>local Qualified Person for Pharmacovigilance (QPPV) </b>for the Moroccan Health authorities where applicable</span></li><li><span>Builds &amp; maintains all necessary relations/collaboration with the key PSPV stakeholders as well as other CSHs, and with the in-country partner functions (including but not limited to Medical, Regulatory, Quality, Commercial, Legal, and Country Leads).</span></li><li>Accountable for local PV outsourced activities and PV compliance of local partnerships</li><li>Accountable for local PV resources and budget with both local &amp; global supporting functions</li><li><span>Operates as Local Safety Officer (LSO) by managing medical safety of assigned local products under the oversight of the Regions Medical Safety Head (this role can be delegated as needed)</span></li></ul><b>Experience</b>:<ul><li>Strong experience with PV systems &amp; Regulatory Agency interactions (minimum of 3 years Pharmacovigilance experience)</li></ul><b>Soft skills</b>:<ul><li>Strong leadership</li><li>Able to create networks and to collaborate in an international cross-functional environment.</li><li>Self–motivated, ruthlessly prioritize to deliver most value.</li><li>Solution oriented &amp; strategic thinking while keeping patients and customers top of mind.</li><li>Good communicator with attention to detail while seeing the big picture.</li></ul>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Good persuasion, negotiation and influencing skills, notably for Export Market Service Providers/Partners interactions.<b>Technical skills</b>:<ul><li>Strong knowledge of pharmacovigilance systems &amp; regulations</li><li>Good understanding of how to manage safety data from multiple sources</li><li>Able to evaluate &amp; manage safety signals and define risk management activities</li></ul><b>Education</b>:·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Pharmacist with competencies in epidemiology and biostatistics<b>Languages</b>:Full professional English &amp; French languages proficiency<i>Take The Lead Values:&nbsp;</i><ul><li><i>Aim Higher</i>&nbsp; - Focus on what matters, set high standards and move with urgency, learning from setbacks as we go to achieve higher performance.&nbsp;</li><li>&nbsp;<i>Act for patients</i>&nbsp;- Never compromise on integrity, eliminate barriers, and partner with others to go faster and further for patients.&nbsp;</li><li>&nbsp;<i>Be Bold</i>&nbsp;- Take thoughtful risks, seize opportunities and think beyond what’s possible to accelerate our science and drive compelling growth.&nbsp;</li><li><i>Lead Together</i>&nbsp;- Build trust and collaborate openly on our shared goals, celebrate collective wins and foster a sense of belonging.&nbsp;</li></ul><i>Why choose us?</i><ul><li>Be part of a pioneering biopharma company that engages patients early in drug development and uses their insights to design studies that reflect real-world needs.&nbsp;</li></ul><ul><li>Work at the forefront of drug discovery, harnessing cutting-edge AI, data, and digital platforms to push the boundaries of science.&nbsp;</li></ul><ul><li>Help improve the lives of millions of people globally by making drug development quicker and more effective.&nbsp;</li></ul><ul><li>Enjoy opportunities to collaborate beyond your area of expertise, working with diverse teams across science, clinical, and digital fields to spark new ideas and drive breakthroughs.&nbsp;</li></ul><ul><li>Accelerate your professional development with structured career paths designed for both scientific and leadership advancement. Grow in ways you never imagined through bold moves that stretch your potential, cross moves into other business areas, and short-term gigs that build your scientific expertise.​&nbsp;&nbsp;&nbsp;&nbsp; ​</li></ul><ul><li>Join a workplace where diversity, equity, and inclusion are at the core, with Employee Resource Groups and leadership programs that celebrate every voice.</li></ul><ul><li>Achieve genuine work-life balance in a supportive R&amp;D environment.</li></ul><ul><li>Enjoy outstanding benefits, including flexible working options, comprehensive healthcare, and well-being programs designed to help you thrive.</li></ul>Pursue <i>progress</i>, discover <i>extraordinary</i><p>Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.</p><br><p>At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.</p><br><p>Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!</p><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><font dir="auto" ><font dir="auto" >Job Description: As part of the development of our Data &amp; Analytics platforms, we are looking for a Data/GCP Product Owner with at least 4 years of experience to lead the data product roadmap and ensure alignment between business needs, Data teams, and Cloud teams. You will be responsible for creating value through the definition, prioritization, and monitoring of Data initiatives on Google Cloud Platform (GCP).</font></font></p><p><font dir="auto" ><font dir="auto" >Main responsibilities: Gather, analyze, and qualify business needs related to data and analytics. Define, prioritize, and manage the product backlog based on business and technical objectives. Develop and manage the data product roadmap in collaboration with stakeholders. Coordinate the Data, Cloud, BI, and business teams to ensure successful project execution. Write user stories, acceptance criteria, and functional specifications. Monitor development, testing, and deployments. Measure adoption, performance, and the value created by deployed solutions. Lead Agile ceremonies and facilitate communication between different teams.</font></font></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><font dir="auto" ><font dir="auto" >Master's degree (Bac+5) in Computer Science, Data Science, Engineering, Information Systems Management, or equivalent. Minimum 4 years of experience as a Product Owner, Business Analyst, or Data Project Manager. Proficiency in Agile methodologies (Scrum, Kanban) and Product Ownership practices. Strong knowledge of Data and Analytics platforms on Google Cloud Platform (GCP). Experience leading Data, BI, Analytics, or Cloud projects. Ability to manage and unite business and technical stakeholders. Excellent communication, organizational, and prioritization skills. Strong focus on business value and continuous improvement.</font></font></p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><font dir="auto" ><font dir="auto" >Your responsibilities will include: Developing data pipelines. Designing and maintaining data architectures. Integrating data. Optimizing processes. Automating deployments. Providing support and continuous improvement.</font></font></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><font dir="auto" ><font dir="auto" >Master's degree (Bac+5) in Computer Science. Experience: 4 years of experience in Data Engineering. Required skills: Python, SQL, ETL, Cloud, Data Warehouse, CI/CD. Cloud experience preferred.</font></font></p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><font dir="auto" ><font dir="auto" >Your responsibilities will include: Data analysis. Production of indicators and dashboards. Gathering business requirements. Data quality control. Conducting studies and preparing reports. Presenting results to stakeholders.</font></font></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2><font dir="auto" ><font dir="auto" >Qualifications</font></font></h2><p><font dir="auto" ><font dir="auto" >Master's degree (Bac+5) in Computer Science. Experience: 4 years of experience in Data Analysis. Required skills: SQL, Power BI, Tableau, Excel, Data Visualization.</font></font></p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br> Company culture : <p><strong>Alten Maroc </strong>is defined by a deeply <strong>collaborative</strong> culture, focused on people, trust, and strong team support, with hands-on managers who guide and develop talent.<br> This environment is enhanced by a strong drive for <strong>innovation</strong>, encouraging creativity, initiative, and experimentation across projects.<br> A structured and disciplined organization ensures <strong>efficiency</strong>, rigor, and quality in engineering delivery.<br> <strong>Performance</strong> and ambition are part of the culture as well, supporting collective success while maintaining a positive and caring atmosphere. </p><br><br> <br> Job : <p>The consultant will be responsible for:</p><br><br><ul><li>Joining the Digital Factory Supply Chain to support forecasting and optimization topics using data and advanced analysis</li><li>Designing, structuring, and industrializing forecasting calculation tools (store demand forecasting, warehouse load forecasting, supply chain optimization)</li><li>Structuring, planning, and coordinating team work in collaboration with Data Scientists, Data Engineers, Data Analysts, Product Owners, and business teams</li><li>Aligning analytical and technical solutions with business and operational challenges</li><li>Mentoring, guiding, and supporting the skill development of junior profiles</li><li>Ensuring good practices in Data Science and software development (quality, maintainability, performance, industrialization)</li><li>Arbitrating technical choices and contributing to the continuous improvement of methodologies and solutions</li><li>Actively participating in modeling, analysis, and industrialization topics as a senior contributor</li></ul> <br> <br> Required profile : <p>Graduated with a Bac+5 (Master's degree) from an engineering school or equivalent university with a specialization in computer science, or with equivalent significant experience.</p><br><br><p><u><strong>Experience</strong></u>: More than 7 years</p><br><br><p><strong><u>Required Skills:</u></strong></p><br><br><ul><li>Excellent command of SQL / BigQuery for large-scale data exploration, transformation, and analysis</li><li>Excellent command of Python for analysis, modeling, and industrialization</li><li>Good command of GCP (Google Cloud Platform)</li><li>Good command of Git and collaborative development best practices</li><li>Good command of DBT</li><li>Solid command of the full Data Science project lifecycle (collection, preparation, modeling, evaluation, deployment)</li><li>Proven experience in industrializing Machine Learning solutions in a cloud environment</li><li>Good command of large-scale data manipulation issues</li><li>Good understanding of business issues related to supply chain, forecasting, and optimization</li><li>Proficiency in Agile methodologies (Scrum, Sprint Planning, Backlog)</li></ul><p><strong><u>Soft Skills:</u></strong></p><br><br><ul><li>Technical leadership</li><li>Excellent written and oral communication</li><li>Analytical thinking and critical judgment</li><li>Ability to step back and analyze</li><li>Ability to challenge the existing</li><li>Rigor and attention to quality</li><li>Team spirit</li><li>Ability to simplify complex topics</li></ul> <br><br> </div>

<p>Collaborate with senior data engineers to design, build, and maintain data pipelines and ETL processes. Analyze functional and technical requirements Implement developments on GCP (BigQuery, Cloud Run, Pub Sub, Cloud Function, ). Assist in the integration and transformation of data from various sources. Contribute to the optimization and performance tuning of existing data pipelines. Assist in the development and maintenance of data warehouses and databases. Collaborate with data analysts and data scientists to ensure data availability and reliability. Document and communicate data engineering processes and best practices.</p><p><strong>Desired Candidate Profile</strong></p><p>Enrolled in a Bachelor's or Master's program in Computer Science, Data Science, or a related field. Strong interest in data engineering and data technologies. Strong skills in SQL and Python are a must have. Familiarity with GCP (Google Cloud Platform). Good skills in Looker and Terraform are required. Good problem-solving skills and attention to detail. Strong communication and teamwork abilities.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br> Company culture : <p><strong>CAC (Centrale Automobile Chérifienne)</strong> is characterized by a strong <strong>collaborative culture</strong>, placing people, trust and teamwork at the core of its organization. A close management approach supports guidance, empowerment and long-term working relationships within committed teams. This dynamic is complemented by a <strong>competitive dimension</strong>, focused on performance, ambition and customer satisfaction. It is also supported by a structured <strong>organizational culture</strong>, ensuring rigor, efficiency and process reliability, while a more moderate <strong>innovative component</strong> fosters adaptability and continuous improvement. </p><br><br> <br> Job : <ul><li>You will use the company's data to design predictive models and integrate Artificial Intelligence solutions into our business processes.</li><li>You will also participate in the intelligent automation of our internal processes by integrating AI technologies to strengthen their digitalization and efficiency.</li><li>In this role, you will develop predictive models for predictive maintenance, inventory optimization, and customer segmentation and scoring, thus contributing to enriching the 360° customer view.</li><li>Finally, you will ensure active technological monitoring to identify and explore new uses of Artificial Intelligence applicable to our business sector.</li></ul> <br> <br> Required profile : <p><strong>Technical Skills:</strong></p><br><br><ul><li>Proficiency in Python, ML/DL, API, Azure cloud (Data Factory/Fabric preferred),</li><li>Knowledge of OpenAI GPTs, OLLAMA, Claude, Gemini.</li><li>Basic understanding of MLOps (CI/CD, monitoring, containerization).</li><li>Good foundation in SQL and understanding of Data architecture.</li><li>Good understanding of DWH/Datalake (architecture, modeling, business sources).</li><li>Experience in data environments such as Azure, Databricks, &amp; popularization...</li><li>Proficiency in programming languages (Python, R, SQL) and Machine Learning libraries</li></ul><p><strong>Profile sought:</strong></p><br><br><ul><li>Master's degree (Bac+5) in AI, Data Science, Software Engineering, Computer Science.</li><li>2-5 years of experience in Data/AI</li><li>Ability to solve complex problems with a pragmatic approach.</li><li>Focus on business value and user experience.</li><li>Strong analytical skills, Rigor, autonomy.<br>&nbsp;</li></ul> <br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><strong><font dir="auto" ><font dir="auto" >Context :</font></font></strong></p> <p><font dir="auto" ><font dir="auto" >As part of a migration project to the Azure cloud, we are looking for a Data Engineer for our client capable of designing, developing and optimizing robust and scalable data pipelines, within a Big Data environment based on a Medallion architecture (Azure Synapse Analytics, Apache Spark, Python/SQL).</font></font></p> <ul> <li><strong><font dir="auto" ><font dir="auto" >Start date:</font></font></strong><font dir="auto" ><font dir="auto" > ASAP</font></font></li> <li><strong><font dir="auto" ><font dir="auto" >Location:</font></font></strong><font dir="auto" ><font dir="auto" > Casablanca, Morocco</font></font></li> </ul> <p><strong>Missions :</strong></p> <ul> <li><font dir="auto" ><font dir="auto" >Design and develop data ingestion and transformation pipelines</font></font></li> <li><font dir="auto" ><font dir="auto" >Participate in the implementation and evolution of a Data M architecture (Bronze/Silver/Gold)</font></font></li> <li><font dir="auto" ><font dir="auto" >Developing Big Data processing with Spark (PySpark / Spark SQL)</font></font></li> <li><font dir="auto" ><font dir="auto" >Industrialize data flows on Azure Synapse Analytics</font></font></li> <li><font dir="auto" ><font dir="auto" >Optimize the performance of SQL processing and queries</font></font></li> <li><font dir="auto" ><font dir="auto" >Ensuring the quality, reliability, and traceability of data</font></font></li> <li><font dir="auto" ><font dir="auto" >Implement monitoring and alerting mechanisms</font></font></li> <li><font dir="auto" ><font dir="auto" >Participate in technical architecture choices and best practices in Data Engineering</font></font></li> <li><font dir="auto" ><font dir="auto" >Collaborating with Data, BI, Data Scientist and third-party teams</font></font></li> <li><font dir="auto" ><font dir="auto" >Participate in the testing, deployment, and support phases</font></font></li> </ul> <p><strong><font dir="auto" ><font dir="auto" >Required technical skills:</font></font></strong></p> <p><strong>Cloud &amp; Data Platform</strong></p> <ul> <li>Azure Synapse Analytics</li> <li>Databricks</li> <li>Azure Data Lake Storage (ADLS)</li> <li>Azure Data Factory (ADF) appr ci </li> <li>Architecture Data Lakehouse</li> </ul> <p><strong>Big Data</strong></p> <ul> <li>Apache Spark, Spark SQL, PySpark</li> <li><font dir="auto" ><font dir="auto" >Optimization of distributed treatments</font></font></li> </ul> <p><strong><font dir="auto" ><font dir="auto" >Development</font></font></strong></p> <ul> <li><font dir="auto" ><font dir="auto" >Python, advanced SQL, SQL performance management</font></font></li> </ul> <p><strong>Architecture Data</strong></p> <ul> <li>Architecture Medallion (Bronze / Silver / Gold)</li> <li><font dir="auto" ><font dir="auto" >Data modeling, batch workflow management</font></font></li> </ul> <p><strong><font dir="auto" ><font dir="auto" >Tools &amp; Methodologies</font></font></strong></p> <ul> <li>Git</li> <li><font dir="auto" ><font dir="auto" >CI/CD appr ci</font></font></li> </ul> <p><strong><font dir="auto" ><font dir="auto" >Key advantage:</font></font></strong></p> <ul> <li><font dir="auto" ><font dir="auto" >Experience with generative AI, notably </font></font><strong><font dir="auto" ><font dir="auto" >Claude Code</font></font></strong><font dir="auto" ><font dir="auto" > (a huge plus)</font></font></li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong><font dir="auto" ><font dir="auto" >Search profile:</font></font></strong></p> <ul> <li><font dir="auto" ><font dir="auto" >Higher education (Master's degree in computer science, data science or equivalent)</font></font></li> <li>Exp rience confirm e en Data Engineering sur Azure</li> <li><font dir="auto" ><font dir="auto" >Mastery of Spark pipelines and Medallion architecture</font></font></li> <li><font dir="auto" ><font dir="auto" >Autonomy, rigor, ability to work in an agile team</font></font></li> </ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br> Company culture : <p> <strong>Coface</strong> is characterized by a predominantly <strong>collaborative culture</strong>, placing people, trust and quality professional relationships at the core of its operations. A close management approach encourages guidance, empowerment and skills development within a supportive environment. This culture is strongly complemented by a <strong>competitive dimension</strong>, focused on performance, results and customer orientation. It is also supported by a structured <strong>organizational foundation</strong> ensuring rigor and reliability, while a more moderate <strong>innovation component</strong> contributes to adaptability and continuous improvement. </p><br><br> <br> Job : <p>Reporting to the Strategy and Development Department, the Data Lab brings together Data Science, AI, and Software Engineering skills to design, develop, and deploy operational solutions that improve the company's processes, products, and services. The team has about thirty people spread across Paris, Toronto, and Casablanca.</p><br><br><p>The Data Lab aims to implement best development practices, mainly in Python but also in React and Java, and manages CI/CD pipelines to deploy applications and APIs on Docker/Kubernetes infrastructures, on Apache Airflow, and in the Cloud.</p><br><br><p>Knowledge sharing through presentations among team members, training, and technological watch on reserved time are part of the Data Lab's operating method.</p><br><br><p>The use cases for data science are varied and lead to concrete implementations in internal tools and client applications, for example:</p><br><br><ul><li>Scoring the risk of business failure</li><li>Extracting information from images and documents</li><li>Building and exploiting knowledge graphs</li><li>Search engine specialized in identifying companies</li><li>Financial modeling and simulations</li></ul><p><strong>The missions:&nbsp;</strong></p><br><br><ul><li>You will join Coface's Data Lab team and work most often in pairs or in small teams on innovative projects</li><li>You will fully design and develop solutions that may implement Machine Learning technologies, up to deployment on our container infrastructures or in the cloud, and production monitoring</li><li>You will contribute to technological watch</li></ul> <br> Required profile : <ul><li>Engineering degree or equivalent in Data Science: supervised and unsupervised learning, clustering, NLP...</li><li>Two years or more of experience in a similar role</li><li>Proficiency in Python, its ecosystem, and best practices for code review and continuous integration</li><li>Use of Linux and Git</li><li>Autonomy, curiosity, rigor</li><li>English: projects in international contexts</li></ul><p><br><strong>Appreciated skills:</strong></p><br><br><ul><li>Experience in developing Python applications with high-quality standards</li><li>Implementation of CI/CD pipelines</li><li>Experience with Docker/Kubernetes deployment and cloud applications</li><li>Proficiency in SQL and experience with NoSQL databases (document, graph)</li></ul> <br><br> </div>