(Senior) ML Scientist

📋 Description

• Develop ML methods for biological data (network/graph, single-cell, imaging).
• Collaborate with experimental/computational biologists and ML scientists.
• Analyze high-throughput phenotypic screens with rigorous methods.
• Integrate multiple data modalities (imaging, transcriptomics, genetics, human data).
• Join a cross-functional team to identify targets and therapies.
• Hybrid work in South San Francisco HQ, in-person at least three days/week.

🎯 Requirements

• Ph.D. in computer science, ML, computational biology, systems biology, or related.
• Extensive hands-on experience developing ML methods for biological data modalities.
• Experience with network/graph based analysis and modeling techniques.
• Experience integrating data across modalities (imaging, transcriptomics).
• Strong programming skills in Python.
• Commitment to clean code, documentation, and version control.

🎁 Benefits

• 401(k) with employer matching.
• Excellent medical, dental, and vision coverage.
• Open, flexible vacation policy.
• Paid parental leave of at least 16 weeks; 10 weeks for new parent.
• Quarterly budget for books and online courses.
• New hire stipend for home office setup.