Insitro
(Senior) ML Scientist
South San Francisco, CA · Senior
Sponsorship not specified$183k-$238kDetected 90 days ago
PythonCode ReviewAWSAzureMachine LearningData AnalysisBioinformaticsCommunicationProblem Solving
About the role
- State-of-the-art technologies that measure multiple cellular aspects of in-vitro biology are at the heart of insitro's efforts to accelerate drug development.
- Computational biology is key to elucidating the relationship between these phenotypes and human disease and translating them into actionable outcomes.
- We are looking for an expert in ML method development for biological data analysis, in domains such as network analysis, systems biology, graph-based modeling, causal structure learning, single cell omics, or imaging modalities.
Responsibilities
- We rely on these data to develop ML-driven, predictive disease models that uncover underlying biologic state and elucidate critical drivers of disease.
- These powerful models rely on extensive biological and computational infrastructure and allow insitro to advance novel targets and patient biomarkers, design therapeutics and inform clinical strategy. insitro is advancing a wholly owned and partnered pipeline of insights and therapeutics in neuroscience and metabolism.
- Since launching in 2018, insitro has raised over $700 million from top tech, biotech and crossover investors, and from collaborations with pharmaceutical partners.
- Support to attend professional conferences that are meaningful to your career growth and role's responsibilities
Requirements
- Hands on experience with biological data analysis, in particular familiarity with network and graph based analysis and modeling techniques
- Experience integrating data or insights from multiple sources and distinct modalities (e.g., imaging, transcriptomics, functional genomics, genetics, human cohort data)
Nice to have
- Experience with statistical genetics and integrating functional and omics data with gwas
- First-hand experience studying disease biology
- Experience with gene regulatory network inference or causal modeling
- Familiarity with cloud computing services (e.g., AWS or azure)
- Demonstrated ability to write software in a team, industry experience or substantial involvement with open source projects
- We may also adjust this range in the future based on market data.
- In addition, insitro also provides our employees:
- 401(k) plan with employer matching for contributions
Skills
- Strong programming skills in scientific programming languages (i.e., Python)
Compensation
- Compensation & Benefits at insitro
Benefits
- Excellent medical, dental, and vision coverage as well as mental health and well-being support
- Open, flexible vacation policy
- Paid parental leave of at least 16 weeks to support parents who give birth, and 10 weeks for a new parent (inclusive of birth, adoption, fostering, etc)
- New hire stipend for home office setup
- Monthly cell phone & internet stipend
- insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines.
- Access to a free commuter bus network that provides transport to and from our South San Francisco HQ from locations all around the Bay Area
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This listing is sourced directly from Insitro's careers page and normalized into a canonical job model.