Remote AI/ML Scientist & Computational Biologist

Bayside Solutions; California; Remote; USD 117,000 - 145,000; Full time

Job summary

Bayside Solutions, Inc. is seeking a hands-on AI/ML Scientist specializing in computational biology for a W2 contract role in California. The position emphasizes AP-MS data, profile similarity, and reproducible analyses, with collaboration across bioinformatics and lab-focused scientists.

The ideal candidate will have strong Python/R skills, solid ML validation knowledge, and experience in high-dimensional proteomics. Remote-friendly in California with a focus on rigorous data interpretation.

Qualifications

• Degree in computational biology, bioinformatics, statistics, or related field.
• Experience analyzing biological assay data and translating requirements into workplans.
• Strong statistical judgment on reproducibility, batch effects, and uncertainty.
• Proficiency in Python or R, Git, and documenting methods.
• Experience with data quality, missingness, and preprocessing assumptions.

Responsibilities

• Define analytical requirements, deliverables, milestones, and acceptance criteria for experimental data used in ML.
• Assess AP-MS profile similarity and technical reproducibility with quantitative support and uncertainty.
• Evaluate plate and batch effects, distinguishing technical variation from biology.
• Support reference-panel pilot design and validation for AP-MS and other data.
• Ensure preprocessing preserves biological information for downstream modeling.
• Build reproducible analyses and document methods, assumptions, and provenance.
• Support scientific data evaluation and benchmark design as needed.
• Communicate findings and coordinate follow-up with bioinformatics.

Skills

Python

R

Git

Machine Learning

Statistics

Data Quality

Analytical Thinking

Education

Advanced degree in computational biology or related field

Tools

Databricks

Cloud HPC

Job description

Bayside Solutions, Inc. is seeking a hands-on AI/ML Scientist specializing in computational biology for a W2 contract role in California. The position emphasizes AP-MS data, profile similarity, and reproducible analyses, with collaboration across bioinformatics and lab-focused scientists.

The ideal candidate will have strong Python/R skills, solid ML validation knowledge, and experience in high-dimensional proteomics. Remote-friendly in California with a focus on rigorous data interpretation.