Remote ML Researcher: Foundation Models for Biotech

Harnham; South San Francisco (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

Harnham is seeking a Machine Learning Research Scientist for a fully remote role or optional hybrid in South San Francisco. You will join a fast-growing, AI-driven biotech research startup with extensive funding.

The ideal candidate will have a Ph.D. in Computer Science or Mathematics, experience with self-supervised learning, and robust coding skills. Responsibilities include designing models, improving code, and applying ML to new drug targets.

Qualifications

• First-author publications in journals like NeurIPS, ICLR, ICML, CVPR.
• 2+ years of experience developing robust code in larger projects.

Responsibilities

• Design, implement, and train foundation models with multimodal bio data.
• Improve the robustness of existing codebase through refactoring and testing.
• Prototype research ideas to determine best approaches.
• Apply ML pipeline to new drug targets.

Skills

Machine Learning

Self-supervised learning

Education

Ph.D. in Computer Science or Mathematics

Master's degree acceptable if qualifications met

Job description

Harnham is seeking a Machine Learning Research Scientist for a fully remote role or optional hybrid in South San Francisco. You will join a fast-growing, AI-driven biotech research startup with extensive funding.

The ideal candidate will have a Ph.D. in Computer Science or Mathematics, experience with self-supervised learning, and robust coding skills. Responsibilities include designing models, improving code, and applying ML to new drug targets.