Senior ML/AI Cheminformatics Scientist

Pfizer

Hybrid

Quick summary

Work type: Hybrid
Location: Groton, CT
Salary: $93,600–$156,000 / yr
Posted: 4 days ago
Nearby: 3 roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $208k

This role $125k

$74k most similar roles pay here $278k

This role pays less than 99% of similar roles. Most pay $169,755–$246,150 — the shaded band above. At the midpoint, this role pays about $125k versus about $208k for comparable roles.

Based on 240 similar postings.

Employer

About Pfizer

Pfizer Inc. is one of the world''s largest biopharmaceutical companies, researching, developing, manufacturing, and marketing medicines and vaccines across multiple therapeutic areas including oncology, cardiology, and infectious diseases. Industry: Biopharmaceuticals

Pfizer currently has 33 open roles on FindRole.

Listed pay typically runs $124,400–$207,400 across 33 roles with salary data.

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View all roles at Pfizer

At a glance

TL;DR · Senior ML/AI Cheminformatics Scientist

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As a Senior Cheminformatics Data Scientist in Pfizer’s Computational Absorption, Distribution, Metabolism, and Excretion (cADME) group within the Pharmacokinetics, Dynamics, and Metabolism organization, you will develop machine learning models for molecular property prediction using proprietary chemical and biological datasets to inform decision-making during drug discovery stages. Your daily tasks include creating cheminformatics data-mining algorithms, processing large-scale datasets, and utilizing tools like RDKit and OpenEye to optimize data pipelines. You will collaborate with cross-functional teams to integrate AI-driven approaches into workflows, ensuring robust computational models that generate actionable insights for project outcomes. The role requires a PhD or relevant Master's degree plus experience in cheminformatics, proficiency in Python and cheminformatics libraries, and knowledge of statistical concepts and model performance evaluation. Preferred qualifications include experience with data pipeline tools like Luigi and Airflow, as well as MLOps tools such as MLFlow and Neptune.

Skills

Python RDKit OpenEye DeepChem SciKit-Learn Torch git Luigi Airflow Dagster Prefect Kubeflow SQL NoSQL MLOps MLFlow Neptune SageMaker

What you'll do

Develop and apply cheminformatics algorithms for molecular modeling and virtual screening.
Utilize molecular fingerprints and descriptors for compound clustering and classification.
Optimize data pipelines for chemical structure processing using RDKit and OpenEye.
Maintain AI/ML models for property prediction in drug discovery stages.
Integrate computational approaches into workflows with cross-functional teams.
Ensure best practices in data integrity, reproducibility, and model documentation.

What we're looking for

PhD in a relevant field or Master's degree with 2+ years of experience in Cheminformatics, Computational Chemistry, Bioinformatics, Data Science.
Proficiency in Python and cheminformatics libraries (RDKit, OpenEye).
Experience developing and maintaining AI/ML models for property prediction.
Strong understanding of statistical concepts and model performance evaluation.
Collaborative work in structured data and software development environments using git.
Experience with SAR model-building software such as SciKit-Learn or Torch.

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