Staff Machine Learning Scientist

Summary

Join insitro, a drug discovery company using machine learning, and become a Machine Learning Scientist on the integrative phenotyping team. Develop and deploy cutting-edge ML approaches to analyze large-scale multi-modal phenotypic datasets, including clinical imaging and electronic health records. Collaborate with a team of scientists and clinicians to identify therapeutic targets and develop drugs. Work with software engineers to ensure robust pipelines for large-scale datasets. This role offers hybrid or remote options for candidates in the San Francisco Bay Area or elsewhere. The position requires expertise in ML methods and experience with diverse clinical data modalities. A strong publication record and experience mentoring junior scientists are also essential.

Requirements

• Expertise in developing and deploying state-of-the-art ML methods for interpreting and extracting signals and clinically-relevant insights from complex data modalities, including hands-on experience with modern multimodal ML techniques
• Demonstrated ability to work with other ML scientists and engineers to plan, execute and deliver a full ML solution for challenging, real-world problems: sourcing and qualifying training data; designing and implementing ML models; testing & benchmarking
• 5+ years of experience with diverse clinical data modalities, including some subset of: Imaging modalities (e.g., MRI, DEXA, CT, etc.)
• 5+ years of experience with diverse clinical data modalities, including some subset of: Clinical records, including individual demographics, drugs administered, clinical outcomes, etc
• 5+ years of experience with diverse clinical data modalities, including some subset of: Physiological recordings (e.g., EEG, ECG, etc.)
• 5+ years of experience with diverse clinical data modalities, including some subset of: Molecular readouts, including omics from blood or tissue
• 5+ years of experience with diverse clinical data modalities, including some subset of: Large-scale human genetic datasets
• Experience with human physiology or disease biology (e.g., neuroscience, metabolism)
• Publication record of meaningful, high-quality contributions in relevant ML, ML for health, computational biology, or biomedical venues
• Experience producing high-quality, reusable ML code, including experience developing models using modern deep learning frameworks (such as PyTorch, TensorFlow, or Keras) and with cloud computing (preferably AWS)
• Experience mentoring, coaching, and leading junior scientists
• Passion for providing better medicine to patients in need!

Responsibilities

• Develop and deploy ML methods for interpreting complex phenotypes, and for integrating multi-modal analyses across diverse phenotypic readouts
• Provide technical leadership within a team of outstanding machine learning (ML) scientists
• Collaborate with other leaders in the company to achieve important goals: Therapeutic Area and Clinical Development colleagues to develop new biomarkers for patient selection and clinical endpoints
• Collaborate with other leaders in the company to achieve important goals: Statistical Genetics team to associate human genetics with clinical outcomes
• Collaborate with other leaders in the company to achieve important goals: Corporate dDvelopment team to identify and onboard new, high-value data sets to guide our analysis
• Collaborate with other leaders in the company to achieve important goals: Lab scientists and with other ML teams (Imaging, Omics) to design experiments that generate datasets that are fit for purpose for machine learning, including ones generated explicitly for training ML models
• Engineer robust, reusable platform components in partnership with the software engineering team

Benefits

• Annual Performance Bonus Plan (based on company targets by role level and annual company performance)
• Equity Incentive Plan, subject to the terms of those plans and associated policies
• 401(k) plan with employer matching for contributions
• Excellent medical, dental, and vision coverage (insitro pays 100% of premiums for employees on our base plans), as well as mental health and well-being support
• Open, flexible vacation policy
• Paid parental leave
• Quarterly budget for books and online courses for self-development
• Support to attend professional conferences that are meaningful to your career growth and role's responsibilities
• New hire stipend for home office setup
• Monthly cell phone & internet stipend
• Access to free onsite baristas and cafe with daily lunch and breakfast
• Access to free onsite fitness center
• Commuter benefits