(Senior) ML Scientist
insitroAI-driven Drug company
South San Francisco, United States$183,000 - $238,000Senior
Andreessen Horowitz
BlackRock
CPP Investments
ARCH Venture Partners
Third Rock Ventures
Two Sigma Ventures
Data & AI
About the role
TL;DR
Develop ML methods for biological data analysis to accelerate drug development.
- •Join insitro to develop ML methods for biological data analysis and accelerate drug development.
- •Key Responsibilities Collaborate with biologists and data scientists to develop new screening paradigms.
- •Develop and utilize diverse ML and bioinformatic methods for downstream analyses.
- •Integrate data from multiple sources and modalities to extract insights about disease mechanisms.
- •Ensure analyses are performed to the highest rigor and in line with best practices.
- •Participate in a cross-functional team to identify therapeutic targets and develop drugs.
- •Requirements Ph.D. in computer science, machine learning, computational biology, systems biology, or a related discipline.
- •Extensive experience developing ML methods for biological data modalities.
- •Familiarity with network and graph-based analysis and modeling techniques.
- •Experience integrating data from multiple sources and modalities.
- •Strong programming skills in Python.
- •Commitment to writing well-commented code and documentation.
- •Ability to communicate effectively and collaborate with diverse teams.
- •Publication record in relevant machine learning, computational biology, systems biology, life sciences, or biomedical venues.
- •Passion for developing impactful methods and making a difference in the world.
Required skills
Pythonscikit-learnTensorFlowPandasNumPy
Nice-to-have skills
AWSGitEngineering ManagementTechnical Leadership
Domain expertise
biotech
Benefits & perks
Equity, Health Insurance, Paid Parental Leave, Quarterly Budget for Books and Online Courses, Support to Attend Professional Conferences, New Hire Stipend for Home Office Setup, Monthly Cell Phone & Internet Stipend, Free Onsite Baristas and Daily Lunch, Free Commuter Bus Network
Tech stack
PythonPandasNumPyscikit-learnTensorFlowPyTorchAWSGit
