What are the responsibilities and job description for the Scientist - Machine Learning AI position at Katalyst Healthcares and Lifesciences?
Key Responsibilities:
Qualifications:
- 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:
- dvanced 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.
- bility to independently execute defined project work and deliver high-quality outputs on an agreed timeline.