Jobs / United States / Abbvie US LLC

Abbvie US LLC

Senior Scientist I, Experimental & Systems Immunology

Cambridge, MA, US Posted today

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A/B testingStatisticsLeadershipPython

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 177 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Abbvie US LLC paid sponsored hires in similar roles1 certified filing for “Senior Scientist II, Biologics Analytical R&D” (Biochemists and Biophysicists) in MA: $155k–$155k, median $155k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 177 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Abbvie US LLC paid sponsored hires in similar roles
1 certified filing for “Senior Scientist II, Biologics Analytical R&D” (Biochemists and Biophysicists) in MA: $155k–$155k, median $155k. Most were filed at wage level III (100%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

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. • 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 contribu

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