Scientist - Machine Learning AI

Katalyst Healthcares & Life Sciences; Port Reading (NJ); On-site; USD 110,000 - 170,000; Full time

Job summary

Creative Solutions Services, LLC is seeking a computational biology specialist to advance ML-driven analyses of protein structures and multimodal datasets. The role focuses on curating diverse data sources, building reproducible workflows, and generating testable hypotheses for research or drug discovery programs.

The ideal candidate has an MS or PhD in a related field, strong Python skills, and a track record of delivering high-quality analyses within timelines, communicating results to both

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.

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.

Skills

Python

Machine learning

Data integration

Bioinformatics

Multimodal data

Education

MS/PhD in computational biology or related field

Job description

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.