Senior Principal AI/ML Cheminformatics Scientist
Pfizer
5 months ago
Remote friendly (Cambridge, MA)
United States
Clinical Research and Development
Role Responsibilities
- Develop and deliver robust, validated AI and cheminformatics workflows/algorithms to support drug discovery.
- Design, build, and deploy cheminformatics and AI workflows for small-molecule discovery (prioritized compound lists, chemical libraries, structure-activity relationship analyses).
- Collaborate with medicinal chemists, biologists, and data scientists to integrate computational approaches into experimental/analytical workflows.
- Monitor emerging advances in AI/cheminformatics and lead adoption of promising methodologies (pilots, workshops/training).
- Develop novel algorithms and analytical strategies using proprietary datasets; deliver validated models, software tools, and contributions to literature/patents.
Basic Qualifications
- Ph.D. or Master’s in Cheminformatics, Computational Chemistry, Bioinformatics, Data Science, or related field (required).
- 8+ years drug discovery experience in pharma/biotech.
Required/Preferred Skills
- AI expertise for medicinal chemistry/cheminformatics: molecular representations, fingerprints, QSAR, generative models, transformer architectures, pretraining, property prediction, virtual screening, ADMET modeling.
- Strong Python proficiency; hands-on with RDKit, OpenEye, DeepChem, InChI, SMILES/SMARTS.
- Experience in structured software/data development environments (e.g., Git).
- Strong communication/collaboration; ability to manage multiple priorities.
Additional Information (explicit)
- Relocation support available; Work location: Hybrid.
- Base salary: $124,400–$207,400; bonus target 17.5%; benefits include 401(k) with matching, retirement contribution, paid leave, and medical/dental/vision coverage.
- Develop and deliver robust, validated AI and cheminformatics workflows/algorithms to support drug discovery.
- Design, build, and deploy cheminformatics and AI workflows for small-molecule discovery (prioritized compound lists, chemical libraries, structure-activity relationship analyses).
- Collaborate with medicinal chemists, biologists, and data scientists to integrate computational approaches into experimental/analytical workflows.
- Monitor emerging advances in AI/cheminformatics and lead adoption of promising methodologies (pilots, workshops/training).
- Develop novel algorithms and analytical strategies using proprietary datasets; deliver validated models, software tools, and contributions to literature/patents.
Basic Qualifications
- Ph.D. or Master’s in Cheminformatics, Computational Chemistry, Bioinformatics, Data Science, or related field (required).
- 8+ years drug discovery experience in pharma/biotech.
Required/Preferred Skills
- AI expertise for medicinal chemistry/cheminformatics: molecular representations, fingerprints, QSAR, generative models, transformer architectures, pretraining, property prediction, virtual screening, ADMET modeling.
- Strong Python proficiency; hands-on with RDKit, OpenEye, DeepChem, InChI, SMILES/SMARTS.
- Experience in structured software/data development environments (e.g., Git).
- Strong communication/collaboration; ability to manage multiple priorities.
Additional Information (explicit)
- Relocation support available; Work location: Hybrid.
- Base salary: $124,400–$207,400; bonus target 17.5%; benefits include 401(k) with matching, retirement contribution, paid leave, and medical/dental/vision coverage.