Senior Ml/ai Cheminformatics Scientist

Pfizer Pfizer · Pharma · CT

Senior Cheminformatics Data Scientist at Pfizer applying data-driven approaches to drug discovery, focusing on developing and deploying machine learning models for molecular property prediction and ADMET properties. The role involves processing chemical and biological datasets, utilizing cheminformatics tools, and integrating AI/ML models into discovery workflows.

What you'd actually do

  1. 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.
  2. Utilize molecular fingerprints, descriptors, and similarity metrics for compound clustering, classification, and regression.
  3. 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,)
  4. Collaborate with cross-functional teams to integrate computational approaches into curation and analysis workflows
  5. Maintain best practices in data integrity, reproducibility, and documentation of QSAR AI/ML models

Skills

Required

  • Python
  • cheminformatics libraries
  • RDKit
  • OpenEye
  • DeepChem
  • InChI
  • SMILES/SMARTS
  • git
  • SciKit-Learn
  • Torch
  • statistical concepts
  • model performance evaluation

Nice to have

  • Luigi
  • Airflow
  • Dagster
  • Prefect
  • Kubeflow
  • SQL
  • NoSQL databases
  • MLFlow
  • Neptune
  • SageMaker

What the JD emphasized

  • machine learning models
  • QSAR AI/ML models

Other signals

  • machine learning models
  • molecular property prediction
  • ADMET properties
  • QSAR AI/ML models