Jobs / United States / Pfizer INC
Senior ML/AI Cheminformatics Scientist
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
ROLE SUMMARY As a Senior Cheminformatics Data Scientist within the Computational Absorption, Distribution, Metabolism, and Excretion (cADME) group in Pfizer’s Pharmacokinetics, Dynamics, and Metabolism (PDM) organization, you will apply data-driven approaches to address critical challenges in small-molecule drug discovery. In this role, you will develop, deploy, and continuously improve machine learning models for molecular property prediction and leverage Pfizer’s proprietary chemical and biological datasets to inform decision-making across hit-to-lead and lead optimization stages. Your work will directly enable more efficient compound prioritization, improved prediction of ADME properties, and accelerated progression of discovery programs. Success in this position will be defined by the delivery of robust, validated computational models and workflows that generate actionable insights and measurable impact on project outcomes. You will collaborate closely with cross-functional PDM partners and external collaborators to integrate AI-driven approaches into discovery workflows and maximize the value of Pfizer’s industry-leading data assets. KEY RESPONSIBILITIES • Develop and apply cheminformatics data-mining algorithms for the analysis of molecular modeling, virtual screening, and structure-activity relationship (SAR) analysis. Process and analyze chemical and biological datasets to evaluate properties such as drug-likeness, ADMET properties, dosing, etc. • Utilize molecular fingerprints, descriptors, and similarity metrics for compound clustering, classification, and regression. • Assist in development, maintenance, and monitoring of AI/ML models used for property prediction. Optimize data pipelines for processing and storing chemical structures using cheminformatics toolkits (e.g., RDKit, OpenEye,) • Collaborate with cross-functional teams to integrate computational approaches into curation and analysis workflows • Maintain best practices in data integrity, reproducibility, and documentation of QSAR AI/ML models MINIMUM QUALIFICATIONS • PhD in a relevant field OR • Relevant Master's degree with 2+ years of experience in Cheminformatics, Computational Chemistry, Bioinformatics, Data Science, or a related field. • Proficiency in Python, with experience with cheminformatics libraries and topics (RDKit, OpenEye, DeepChem, InChI, SMILES/SMARTS). • Experience working in a structured collaborative data and software development environment (git).Experience using SAR model-building software such as SciKit-Learn, Torch, etc. • Strong understanding of basic statistical concepts and how to evaluate and track model performance. PREFERRED QUALIFICATIONS • Experience using DAGs to define data pipelines, e.g., Luigi, Airflow, Dagster, Prefect, Kubeflow.) • Experience working with relational (SQL) and NoSQL databases for chemical data management. • Experience working with MLOps tools such as MLFlow, Neptune, or SageMaker. PHYSICAL/MENTAL REQUIREMENTS Ability to perform mathematical calculations and ability to perform complex data analysis NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS Some travel required Relocation support available WORK LOCATION ASSIGNMENT: This is a hybrid role requiring you to live within commuting distance and work on-site an average of 2.5 days per week. The annual base salary for this position ranges from $93,600.00 to $156,000.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 12.5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s mo