Senior Scientist I, Experimental & Systems Immunology

AbbVie Inc.; Cambridge (MA); On-site; USD 97,000 - 184,000; Full time

Job summary

AbbVie is seeking a Senior Scientist I for the Immune Profiling Systems Immunology team in Cambridge, MA. The role focuses on identifying novel autoimmune and inflammatory targets by integrating experimental immunology with computational data analysis.

The ideal candidate combines wet-lab expertise with computational skills to design organoid and co-culture experiments, generate high‑dimensional datasets, and drive portfolio decisions within multidisciplinary teams.

Qualifications

• Strong background in immunology and immune-mediated diseases.
• Experience designing, executing, and interpreting experiments.
• Hands-on with primary human samples and complex in vitro models.

Responsibilities

• Design, execute, and interpret immunology-focused experiments using human cells, PBMCs, tissues, and disease-relevant models.
• Develop and implement assays to characterize immune cell function and therapeutic mechanisms.
• Generate and analyze data from flow cytometry, cytokine profiling, and sequencing-based workflows.
• Collaborate with computational biologists and translational teams to prioritize targets.
• Present findings to project teams and leadership.
• Maintain accurate records and contribute to scientific reports.

Skills

Immunology expertise

Experimental design

Data analysis

Team collaboration

Statistical methods

Education

BS/BA in Immunology or related

MS or PhD preferred

Tools

Flow cytometry

NGS

R/Python

Job description

• Full-time
• Salary Min: 96500
• Therapy Area: Immunology
• Salary Max: 183500
• Workday Global Grade: 17
• Travel: Yes, 5% of the Time
• Compensation: USD 96,500 - USD 183,500 - yearly

Company Description

About AbbVie

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 www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube.

Job Description

AbbVie's Immunology Discovery organization is seeking a highly motivated Senior Scientist I to join our Immune Profiling Systems Immunology team within the Discovery Immunology organization in Cambridge, Massachusetts. The successful candidate will contribute to the identification, validation, and prioritization of novel therapeutic targets for autoimmune and inflammatory diseases through the integration of experimental immunology and quantitative data analysis.

This role is ideal for a scientist who enjoys working at the interface of wet-laboratory experimentation and computational analysis. The candidate will design and execute human disease-relevant experiments, with an emphasis on complex in vitro models such as organoids or complex co-culture systems and their characterization using a range of high-throughput methodologies. They will generate high-dimensional datasets, analyze and interpret results, and collaborate across multidisciplinary teams to advance discovery programs and portfolio decisions.

Key Responsibilities

• Design, execute, and interpret immunology-focused experiments using primary human cells, PBMCs, tissues, and disease-relevant model systems.
• Design and execute studies using complex in vitro models, including organoids or complex co-culture systems, and characterize these models using a range of high-throughput methodologies, such as multiplexed assays and sequencing-based profiling.
• Develop and implement assays to characterize immune cell function, signaling pathways, cellular phenotypes, and therapeutic mechanisms of action.
• Generate and analyze data from flow cytometry, cytokine profiling, NGS-based approaches, single-cell and spatial profiling workflows, and other molecular profiling platforms.
• Partner with computational biologists, bioinformaticians, translational scientists, and disease-area teams to develop mechanistic insights and prioritize therapeutic targets.
• Apply statistical and computational approaches to analyze complex datasets and communicate findings clearly to multidisciplinary audiences.
• Maintain accurate experimental records and contribute to scientific reports, presentations, and project reviews.
• Stay current with advances in immunology, translational research, systems biology, and emerging technologies and incorporate new approaches into discovery programs.
• Present findings to project teams, leadership, and external scientific forums as appropriate.
• Contribute to the scientific culture through collaboration, mentorship of junior scientists, and sharing of technical expertise.

Qualifications

• BS/BA, MS, or PhD inin Immunology, Molecular Biology, Cell Biology, or a related scientific discipline with typically0-3+ (PhD), 8-9+ (MS), or 10-11+ (BS) years ofrelevant academic and/or industry experience.
• Strong scientific background in immunology and immune-mediated diseases.
• Demonstrated expertise in experimental design, execution, and interpretation.
• Hands-on experience working with primary human samples, including PBMCs, tissues, or disease-relevant cellular systems.
• Hands-on experience working with complex in vitro models, such as organoids or complex co-culture systems, and applying high-throughput methodologies to characterize their cellular and functional properties.
• Experience with immunological and molecular biology techniques such as flow cytometry, cell culture, ELISA/multiplex cytokine assays, gene expression analysis, and other functional assays.
• Demonstrated ability to analyze, interpret, and communicate complex biological datasets.
• Working knowledge of statistical methods and data analysis tools such as R, Python, GraphPad Prism, Spotfire, or equivalent platforms.
• Proven ability to work effectively in multidisciplinary teams and contribute to project advancement.

Preferred

• Experience with single-cell genomics, spatial biology, multi-omics profiling, and next-generation sequencing technologies (e.g., 10x Genomics Chromium 3′/5′ gene expression, Flex).
• Experience in target identification, target validation, reverse translation, or mechanism-of-action studies.
• Familiarity with systems immunology and integration of experimental and computational datasets.
• Experience applying data science approaches to biological questions.
• Track record of scientific publications, patents, or presentations at major scientific meetings.

Additional Information

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

• The compensation range described below is the range of possible base pay compensation that the Companybelieves ingood faith it will pay for this role at thetimeofthis posting based on the job grade for this position.Individualcompensation paid within this range will depend on many factors including geographiclocation,andwemayultimatelypaymore or less than the posted range. This range may bemodifiedin thefuture.
• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick),medical/dental/visioninsurance and 401(k) to eligibleemployees.
• This job is eligible toparticipatein our short-term incentiveprograms.

Note: No amount of payis considered to bewages or compensation until such amount is earned, vested, anddeterminable.Theamountandavailabilityof anybonus,commission, incentive, benefits, or any other form ofcompensation and benefitsthat are allocable to a particular employeeremainsin the Company'ssoleandabsolutediscretion unless and until paid andmay bemodifiedat the Company’s sole and absolute discretion, consistent withapplicable law.

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.