Jobs / United States / Pfizer INC
Principal Scientist in particulate materials characterization & digital sciences
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.
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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
Use Your Power for Purpose At Pfizer, our purpose is to deliver breakthroughs that change patients' lives. Central to this mission is our Research and Development team, which is dedicated to translating advanced science and innovative technologies into the therapies and vaccines that matter most. Whether you are involved in discovery sciences, ensuring drug safety and efficacy, or supporting clinical trials, you will leverage cutting-edge design and process development capabilities to accelerate the delivery of best-in-class medicines to patients worldwide. ROLE SUMMARY The Drug Product Design & Supply (DPDS) organization is seeking a Principal Scientist in particulate materials characterization & digital sciences to advance the manufacturing science of solid oral dosage forms, including tablets, capsules, and multiparticulate systems. This role will focus on developing innovative experimental and digital approaches to characterize drug substances, excipients, drug-product intermediates, and drug product, generating the mechanistic understanding needed to accelerate pharmaceutical development and manufacturing. Our goal is to enhance our material-sparing, predictive-science-based drug product development approaches to further enable robust formulation risk assessment and decision making. By combining advanced particulate-material characterization, laboratory automation, artificial intelligence (AI), and digital technologies, we generate key experimental data of high quality and scientific insights needed to support formulation development, process understanding and advancement of next generation predictive tools. The successful candidate will lead the development of novel characterization methodologies and laboratory workflows, leveraging modern data science and AI tools to improve the understanding and prediction of particulate-material behavior. Close collaboration with formulation scientists, process modelers, process engineers, and data scientists will be essential to translate material understanding into improved product quality, manufacturing robustness, and development efficiency. ROLE RESPONSIBILITIES • Lead the development of innovative characterization methods for drug substances, excipients, drug-product intermediates and drug product from particulate to bulk scales to improve understanding of critical material attributes and process-relevant behavior. • Apply artificial intelligence (AI), machine learning (ML), and advanced analytics to characterize particulate materials, extract insights from complex datasets, and enable predictive understanding of material behavior. • Develop and implement automated and high-throughput characterization workflows, including integration of instrumentation into digital laboratory environments and robotic platforms • Partner with process modelers and digital scientists to establish experimental data pipelines that support model-informed drug product development and manufacturing. • Develop data analysis, visualization, and reporting workflows that facilitate rapid decision making and knowledge generation. • Support Pfizer's strategic initiatives in digital development, advanced manufacturing, and laboratory automation. • Collaborate closely with formulation scientists, process engineers, and modelers to connect material properties with process performance and product quality. • Communicate scientific findings through technical reports, presentations, publications, patents, and external scientific forums. • Collaborate with academic institutions, research organizations, technology providers, and equipment vendors to evaluate and implement emerging characterization technologies. QUALIFICATIONS Must Have • PhD with at least 3 years of relevant experience, or MS with at least