Scientist, Machine Learning AI (Protein Structure Data)

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Remote, 12-month contract (renewable) 

Key Responsibilities

• Develop and apply machine-learning and statistical approaches to protein structure, phenotypic, and other multimodal biological datasets
• Curate, harmonize, and quality-control structured and unstructured data from internal and external sources
• Build reproducible computational workflows for feature generation, model training, validation, and performance evaluation
• Integrate protein structural representations with phenotypic and other biological data to generate testable hypotheses and prioritize follow-up analyses
• Implement clear, maintainable analysis code and contribute to shared repositories and technical documentation
• Communicate methods, findings, and recommendations clearly to technical and non-technical stakeholders

Qualifications

• Advanced degree (M.S. or Ph.D.) in computational biology, bioinformatics, computational chemistry, biophysics, or a related field
• Hands-on experience applying machine learning to biological, chemical, or biomedical data
• Experience working with protein structure data and/or structure-derived features in a research or drug discovery setting
• Experience integrating or modeling phenotypic and multimodal datasets
• Strong Python programming skills and experience with scientific computing and machine-learning libraries
• Ability to independently execute defined project work and deliver high-quality outputs on an agreed timeline

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