Jobs / United States / Pfizer INC

Pfizer INC

Senior Translational and Computational Biologist

6 Locations Posted today

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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 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.
  • 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 Pfizer INC paid sponsored hires in similar roles1 certified filing for “SENIOR COMPUTATIONAL BIOLOGIST” (Molecular and Cellular Biologists) in MA: $153k–$153k, median $153k.
  • 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 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. 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 Pfizer INC paid sponsored hires in similar roles
1 certified filing for “SENIOR COMPUTATIONAL BIOLOGIST” (Molecular and Cellular Biologists) in MA: $153k–$153k, median $153k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% 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

Launch Your Career at the Intersection of Biology, AI, and Drug Discovery At Pfizer, breakthroughs in biology, data science, and artificial intelligence are changing how medicines are discovered and developed. As a Senior Translational and Computational Biologist , you'll help transform complex biological and clinical data into insights that support critical scientific decisions across research and development. This is an opportunity for computational and translational scientists who want to combine deep biological understanding with data, computational approaches, and emerging AI capabilities to influence real drug discovery and development programs. You'll work alongside experienced computational biologists, AI scientists, translational researchers, clinicians, and therapeutic area experts while contributing to scientific questions that have the potential to improve patients' lives around the world. Why This Role Is Different Build Expertise While Doing Meaningful Work This role is designed for scientsts ready to take ownership of important biological and translational problems while expanding their ability to apply computational and AI-enabled approaches. You'll independently lead defined analyses, biological investigations, and use-case components while receiving guidance, mentorship, and exposure to some of the most challenging scientific questions in healthcare. Learn How Science Drives Decisions You'll help support research across areas such as: • Target identification and validation • Biomarker discovery • Patient stratification • Disease biology • Translational research • Clinical development • Business development assessments Most importantly, you'll learn how computational insights influence decisions throughout the drug development lifecycle. Grow Beyond Data Analysis Computational biologists at Pfizer are not downstream analysts waiting for completed models. They help shape questions, interpret evidence, challenge assumptions, and translate data into scientific understanding. This role provides an opportunity to develop those capabilities over time while building confidence and credibility as a scientific partner. Develop Domain and Customer Fluency You'll gain firsthand experience working with biological, translational, clinical, and therapeutic-area stakeholders while learning how to translate scientific needs into analytical approaches and actionable insights. Bridge AI, Data, and Biology to Drive R&D Impact This role sits at the intersection of the AI Core and Pfizer's scientific and therapeutic-area organizations. You may come from a computational or translational biology background; what matters most is deep biological and scientific judgment combined with the ability to use data, computational approaches, and emerging AI capabilities to answer important questions. You will work closely with discovery, translational, clinical development, and other R&D teams to identify high-value problems, connect them with the right AI and analytical capabilities, interpret results in biological and clinical context, and help translate new approaches into scientific practice. You will be an early adopter of new AI-enabled ways of working and a trusted scientific partner who helps therapeutic-area teams use these capabilities effectively. The Opportunity As a Senior Translational and Computational Biologist , you will apply computational and biological expertise to help answer high-value scientific questions using diverse biological, molecular, and clinical datasets. This is a role where success is measured not by leading large scientific programs, but by consistently delivering high-quality analyses, building domain expertise, and developing scientific judgment. You will: • Own scoped analyses and defined

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