Jobs / United States / Pfizer INC
Senior Research Scientist, High Content Imaging
Pfizer INC · 🇺🇸 United States - Connecticut - Groton
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 40 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. USCIS also records 9 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- 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. 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 Pfizer INC paid sponsored hires in similar roles3 certified filings for “SENIOR SCIENTIST” (Biochemists and Biophysicists) in CT: $120k–$128k, median $128k. Most were filed at wage level I (100%) — 1 lottery entry, ≈15% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
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.
Or apply yourself on the official page →
Sponsor Radar — Pfizer INC
The US Department of Labor certified 40 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. USCIS also records 9 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Pfizer INC →
About the role
ROLE SUMMARY We are seeking a highly motivated individual to join our high content imaging lab within the Discovery Biology and Pharmacology (DBP) group at the vibrant Groton campus in Connecticut. DBP is responsible for hit-identification, lead optimization, and molecular characterization of our small molecules and has teams focused on high-throughput screening, DNA-encoded libraries, pharmacology, protein homeostasis platforms, cellular models, functional genomics, and high-content imaging. The group is highly integrated with other groups in Medicine Design including Chemists, Structural Biologists, and Computational Scientists, and supports the small molecule portfolio across multiple therapeutic areas. The individual in this role will bring in rich experience in high content imaging and high throughput flow cytometry, and apply them to support our diverse small molecule portfolio spanning various therapeutic areas. ROLE RESPONSIBILITIES • High-content imaging assay design, development, and optimization: Apply a broad range of imaging and flow cytometry assay technologies to address project needs. Independently develop, optimize, and troubleshoot high-content imaging and flow cytometry assays. • Imaging data analysis and interpretation: Design and implement advanced image-analysis workflows, build complex analysis algorithms, and streamline data processing to support medium- to high-throughput screening. Translate imaging data into clear, actionable biological insights. • Imaging infrastructure management and continuous improvement: Partner with team experts to support high-content imaging and flow cytometry instrumentation, implement software solutions that enable advanced imaging applications and data analysis, and continuously improve imaging infrastructure and workflows. • Screening and mechanistic studies: Execute screening campaigns and mechanism-of-action studies using high-content imaging and/or flow cytometry assays to support target validation, small-molecule identification and optimization, and clinical candidate selection. • HTS and automation: Where applicable, partner with our high-throughput screening team to leverage automated systems to execute imaging and flow cytometry screens. • Technology innovation: Stay current with advances in imaging technologies and partner with the broader team to identify, evaluate, and implement novel imaging technologies and instruments that address unmet portfolio needs. • Leverage expertise in image algorithm development and imaging hardware and software to support the infrastructure, in close partnership with our Digital teams, and to support less experienced assay scientists in applying imaging and flow cytometry. QUALIFICATIONS Must have • Education: PhD in molecular biology, pharmacology, cell biology, biomedical engineering, or a related discipline (0 to 4 years of work relevant experience), with 2+ years of relevant experience applying fluorescence or confocal microscopy in biological research. • Imaging assay expertise: Hands-on experience developing, optimizing, and troubleshooting high-content imaging assays; familiarity with flow cytometry assay platforms is strongly valued. • Image analysis and data interpretation: Strong familiarity with plate-based imaging systems and flow cytometry instrumentation. Experience using image-analysis software and quantitative data-analysis approaches to extract meaningful biological insights from imaging assay data. Experience with advanced image-analysis platforms, computational workflows, scripting, programming, or computational biology approaches that support algorithm development and data analysis. • Scientific problem solving: Demonstrated ability to apply imaging-based approaches to address biological questions, tr