Senior Scientist I, Experimental & Systems Immunology
About this opportunity
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 in in Immunology, Molecular Biology, Cell Biology, or a related scientific discipline with typically 0-3+ (PhD), 8-9+ (MS), or 10-11+ (BS) years of relevant 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 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.
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 and serving our community. Equal Opportunity Employer/Veterans/Disabled.
US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html
Job details
How this role compares
Computed from every other active Drug Discovery & Preclinical Research role in our database, not just this employer's listings.
We currently track 396 comparable Senior Drug Discovery & Preclinical Research roles across 55 biopharma companies.
Salary context
182 of 396 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 396 comparable roles
+ 15 more countries
Seniority mix
396 of 396 peers have a known seniority level
Therapeutic area mix
39 of 396 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
Notify me about similar jobs
Get an email when we spot other openings like this one – same job function, comparable seniority, roles you'd actually want to see.
Or follow a whole field: get every new Drug Discovery & Preclinical Research job in the United States, and choose locations and companies.
How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.