Remote ML Scientist: Biological Foundation Models

Harnham; United States; On-site; USD 225,000 - 275,000; Full time

Benefits offered by this job

Competitive compensation

Meaningful equity upside

Job summary

Harnham is seeking a Remote Machine Learning Scientist to work on next-generation biological foundation models. The role focuses on original research and translating ideas into scientific experiments, emphasizing independent execution over production engineering.

Ideal candidates have a PhD in relevant fields, a strong publication record, and a passion for cutting-edge ML research applied to biology. Competitive compensation with equity is offered.

Qualifications

• Strong track record of original machine learning research in rigorous environments.
• First-author publications at top-tier venues.
• Doctoral research from top-tier programs.

Responsibilities

• Design, build, and train foundation models across multimodal biological datasets.
• Develop novel approaches to integrate information across biological scales.
• Rapidly prototype and test research ideas to generate insights.

Skills

Original machine learning research

Collaboration with cross-functional teams

Evaluation frameworks and benchmark tasks

Modern AI techniques

Education

PhD in Computer Science

PhD in Machine Learning / Artificial Intelligence

PhD in Statistics

PhD in Applied Mathematics

PhD in Computational Neuroscience

PhD in Physics or related quantitative field

Job description

Harnham is seeking a Remote Machine Learning Scientist to work on next-generation biological foundation models. The role focuses on original research and translating ideas into scientific experiments, emphasizing independent execution over production engineering.

Ideal candidates have a PhD in relevant fields, a strong publication record, and a passion for cutting-edge ML research applied to biology. Competitive compensation with equity is offered.