Onsite AI/ML Scientist: Protein & Multimodal Biology

Bayside Solutions; California (MO); On-site; USD 140,000 - 190,000; Full time

Job summary

Bayside Solutions is seeking a hands-on Contract AI/ML scientist to accelerate project work focused on TCI-ability using protein structure, phenotypic, and multimodal data.

This individual contributor will partner closely with computational biology, data science, translational, and discovery teams to develop, evaluate, and apply machine-learning approaches that turn diverse biological datasets into actionable project insights.

Qualifications

• Advanced degree (M.S. or Ph.D.) in computational biology or related field.
• Hands-on experience applying machine learning to biological data.
• Experience with protein structure data or structure-derived features.

Responsibilities

• Develop and apply ML approaches for defined TCI-ability projects using protein structure data, phenotypic data, and other multimodal biological datasets.
• Curate, harmonize, and quality-control structured and unstructured data from internal and external sources; document data provenance, assumptions, and limitations.
• Build reproducible computational workflows for feature generation, model training, validation, and performance evaluation.
• Integrate protein structural representations with cellular, phenotypic, and other biological modalities to generate testable hypotheses and prioritize follow-up analyses.
• Implement clear, maintainable analysis code and contribute to shared repositories, technical documentation, and handoff materials.
• Collaborate with cross-functional scientists to translate biological questions into tractable computational workplans, milestones, and decision-ready outputs.
• Communicate methods, findings, risks, and recommendations clearly to technical and non-technical stakeholders.
• Support rapid iteration on project-specific prototypes and analyses in a dynamic discovery environment.

Skills

Python

Machine Learning

Data curation

Data analysis

Cross-functional collaboration

Education

MS or PhD in computational biology or related field

Tools

Cloud computing

Linux

Job description

Bayside Solutions is seeking a hands-on Contract AI/ML scientist to accelerate project work focused on TCI-ability using protein structure, phenotypic, and multimodal data.

This individual contributor will partner closely with computational biology, data science, translational, and discovery teams to develop, evaluate, and apply machine-learning approaches that turn diverse biological datasets into actionable project insights.