Senior Scientist II, Systems Immunology

Morocco

Company Description

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 – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.



Job Description

AbbVie Immunology is expanding its Immunology Discovery team in Cambridge, Massachusetts. We at Immunology Discovery are focused on identifying targets for the treatment of autoimmune and chronic inflammatory diseases using an interdisciplinary approach where we use high-throughput single cell biology experiments and cutting-edge computational approaches to study human disease derived samples and datasets.


We are seeking a highly skilled and motivated Senior Scientist with an MD-PhD background to join our dynamic research team. The successful candidate will possess expertise in genomics, epigenomics, Next-Generation Sequencing (NGS), and functional experiments, alongside strong proficiency in bioinformatics, particularly in the analysis of single-cell RNA sequencing (scRNA-seq) and single-cell ATAC sequencing (scATAC-seq). This position requires an MD background as it involves clinical metadata curation and integration. This role is pivotal to generate and interpret large disease specific single cell datasets that will be used to predicting disease relevant targets.


The person will work in a multi-disciplinary team designing functional experiments and generating and analyzing multi-omics datasets including Cut-and-Tag based epigenetic profiling, to derive insights into immunological diseases, identify novel therapeutic targets specific to patient cohorts and AbbVie pipeline drugs. In addition, the candidate will contribute to presentations at scientific conferences and publications of translational findings in internal and external peer reviewed journals. If you are passionate about translating complex biological data into actionable insights and contributing to the advancement of medicine, we encourage you to apply.


This position will be based in Cambridge, Massachusetts and requires strong clinical, immunological, and bioinformatic background, passion, attention to detail, prior hands-on experience, and teamwork.


Key Responsibilities:


  • Lead research projects focused on epigenomic and transcriptomic profiling using cutting-edge NGS technologies.
  • Design and execute functional experiments to investigate cellular processes and mechanisms related to autoimmune diseases.
  • Conduct bioinformatic analysis of single-cell RNA-seq and single-cell ATAC-seq data to identify and validate disease-specific targets.
  • Curate and interpret clinical metadata to integrate with molecular and cellular datasets and enhance research outcomes.
  • Collaborate with multidisciplinary teams to derive insights into immunological diseases and identify novel therapeutic targets specific to patient cohorts.
  • Contribute to presentations at scientific conferences and publish findings in peer-reviewed journals.

Qualifications

Qualifications:


  • MD-PhD degree in Physiology, Molecular Biology, Biochemistry, or related field with typically 4+ years of experience.
  • Proven experience in designing, optimizing and executing multi-omics characterization of functional experiments.
  • Strong background in molecular biology techniques like flow cytometry, western blot, IHC, etc.
  • Proficiency in bioinformatic pipelines for analyzing biological datasets, particularly single-cell RNA-seq and single-cell ATAC-seq.
  • Excellent problem-solving skills, with a collaborative mindset enabling effective teamwork across interdisciplinary environments.
  • Strong publication record demonstrating expertise in target ID using functional experiments and analysis of genomic and epigenomic datasets.
  • Collaborative mindset with the ability to work across interdisciplinary teams.

Preferred Qualifications:


  • Experience working with animal models for disease.
  • Familiarity designing, executing and analyzing CRISPR perturbation experiments.
  • Experience in building and optimizing computational pipelines for large-scale single-cell RNA-seq analysis.

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​



  • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.​


  • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​


  • This job is eligible to participate in our short-term incentive programs. ​


  • This job is eligible to participate in our long-term incentive programs​



Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. ​



AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives, serving our community and embracing diversity and inclusion.  It is AbbVie’s policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status.


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Post date: Today
Publisher: Bayt
Post date: Today
Publisher: Bayt