This role pays less than
98%
of similar roles. Most pay
$167,942–$254,750
— the shaded band above.
At the midpoint, this role pays about
$125k
versus about
$211k
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
27 open roles
on FindRole.
Listed pay typically runs
$106,000–$176,600
across 27 roles with salary data.
Senior ML/AI Cheminformatics Scientist
As a Senior ML/AI Cheminformatics Scientist within the Computational Absorption, Distribution, Metabolism, and Excretion group, you will apply data-driven approaches to address critical challenges in small-molecule drug discovery. You will develop, deploy, and improve machine learning models for molecular property prediction while utilizing proprietary chemical and biological datasets to inform hit-to-lead and lead optimization stages. Your daily work involves developing cheminformatics data-mining algorithms for virtual screening and structure-activity relationship analysis, as well as managing pipelines for processing chemical structures. You will utilize Python, RDKit, OpenEye, DeepChem, SciKit-Learn, and Torch to build robust models. The role requires expertise in molecular fingerprints, descriptors, and similarity metrics to evaluate drug-likeness and ADMET properties. You will also leverage tools like Git, SQL, and MLOps platforms to ensure data integrity and reproducibility within the pharmaceutical discovery workflow.
Develop and apply cheminformatics data-mining algorithms for molecular modeling, virtual screening, and SAR analysis.
Process and analyze chemical and biological datasets to evaluate drug-likeness and ADMET properties.
Utilize molecular fingerprints, descriptors, and similarity metrics for compound clustering, classification, and regression.
Build, maintain, and monitor machine learning models used for predicting molecular properties.
Optimize data pipelines for processing and storing chemical structures using tools like RDKit or OpenEye.
Integrate AI-driven computational approaches into cross-functional curation and analysis workflows.
Maintain best practices in data integrity, reproducibility, and documentation for QSAR AI/ML models.
What we're looking for
PhD in a relevant field or a Master's degree with 2+ years of experience in Cheminformatics, Computational Chemistry, Bioinformatics, Data Science, or a related field.
Proficiency in Python and experience with cheminformatics libraries such as RDKit, OpenEye, DeepChem, InChI, SMILES/SMARTS.
Experience working in structured collaborative data and software development environments using git.
Experience using SAR model-building software including SciKit-Learn or Torch.
Strong understanding of basic statistical concepts and methods to evaluate and track model performance.
Preferred experience using DAGs for data pipelines, such as Luigi, Airflow, Dagster, Prefect, or Kubeflow.
Preferred experience with SQL and NoSQL databases for chemical data management.
Remote (Foster City, CA)8 days ago
$169,320–$219,120
Python
PyTorch
JAX
Machine Learning
Deep Learning
Generative Modeling
Protein Language Models
Foundation Models
Geometric Neural Networks
AlphaFold
Active Learning
Multimodal Learning
Representation Learning
Data Integration
Design-Build-Test-Learn
Remote (Mountain View, CA)+48 days ago
$70,350–$205,800
Machine Learning
Deep Learning
Natural Language Processing
Data Analysis
Statistics
Conversational AI
Speech-to-Text
Text-to-Speech
Chatbot
Multi-agent Architectures