Senior ML​/AI Cheminformatics Scientist

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.

• 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, Open Eye).
• 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.

• 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, Open Eye, Deep Chem, InChI, SMILES/SMARTS).
• Experience working in a structured collaborative data and software development environment (git). Experience using SAR model‑building software such as Sci Kit‑Learn, Torch, etc.
• Strong understanding of basic statistical concepts and how to evaluate and track model performance.

• Experience using DAGs to define data pipelines, e.g., Luigi, Airflow, Dagster, Prefect, Kubeflow.
• Experience working with relational (SQL) and No
  
  SQL databases for chemical data management.
• Experience working with MLOps tools such as MLFlow, Neptune, or Sage Maker.

Ability to perform mathematical calculations and ability to perform complex data analysis.

Some travel required.

Relocation support available.

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 $. 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 moments.

Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site - U.S. Benefits | (usca). Pfizer compensation structures and benefit packages are aligned based on the…