(Senior) ML Scientist

Tech Stack

Responsibilities

• Develop ML methods for biological data analysis, including network analysis, systems biology, graph-based modeling, causal structure learning, single cell omics, or imaging modalities.
• Collaborate with experimental biologists, computational biologists, and other ML scientists to identify novel phenotypes and develop new screening paradigms.
• Utilize diverse machine learning and bioinformatic methods for downstream analyses, integrating with other data modalities like human cohort data.
• Ensure tools are calibrated, effective, and analyses adhere to scientific rigor and best practices.
• Contribute to a cross-functional team to identify therapeutic targets and develop drugs with high efficacy and low toxicity.

Benefits

• 401k
• Equity
• Health Insurance
• Learning Budget
• Parental Leave
• Remote Stipend

Culture

Requirements