insitro · 14 hours ago
Head of Machine Learning, Cell Biology
insitro is a drug discovery and development company using machine learning and data at scale to decode biology for transformative medicines. As Head of CellML, you will lead a team of ML scientists and engineers to develop methods for generating biological insights from diverse data modalities, collaborating with laboratory leadership and therapeutic area leaders to advance the therapeutic pipeline.
BiotechnologyHealth CareLife ScienceMachine LearningPharmaceuticalTherapeutics
Responsibilities
Work collaboratively with our Drug Discovery leaders on the strategy for deployment of advanced ML to empower target discovery and biological insights, driving the design of experiments that generate data that enables the use of advanced ML methods
Lead and grow a team of outstanding machine learning scientists
Onboard and develop ML and bioinformatic methods for interpreting complex multi-modal perturbation data. Relevant topics include representation learning, contrastive approaches to isolating salient features, disentanglement approaches for interpretability and statistical power, multi-modal embedding, uncertainty modeling, and more
Lead yearly and quarterly planning, set impactful goals, and align with cross-functional stakeholders
Engineer robust, reusable platform components in partnership with the software engineering team
Work with our platform biology and automation teams to advance our platform capabilities, including both: (i) the development of new wet lab capabilities and (ii) the advancement of new ML methods, including by generation of data explicitly designed for training ML models
Collaborate with the corporate development and strategy teams to drive discussions with potential external partners and maximize the value created by our platform technologies
Qualification
Required
Ph.D. in computer science, mathematics, biology, bioinformatics, or a related discipline, or equivalent practical experience
12+ years of real-world experience in applying AI/ML methods to cellular data
Demonstrated in-depth knowledge in the foundations and practice of modern machine learning, including deep learning
Experience with both imaging and omics modalities
Experience in the use of cellular data in the context of drug discovery efforts
Peer reviewed publications in high-quality conferences or journals
Experience in people management and leadership, including building and developing team members based on the strategic needs of the company
Demonstrated ability to collaborate effectively with life science colleagues to form research and therapeutic pipeline execution roadmaps
Demonstrated ability to lead a team of scientists and engineers to plan, execute and deliver a full machine learning solution for challenging, real-world problems: sourcing and qualifying training data; designing and implementing machine learning models; testing & benchmarking; shipping stable, robust, high-performance code
Passion for providing better medicine to patients in need
Benefits
401(k) plan with employer matching for contributions
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)
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 daily lunch for employees who are either onsite or hybrid
Access to a free commuter bus and ferry network that provides transport to and from our South San Francisco HQ from locations all around the Bay Area
Company
insitro
Insitro is a drug discovery and development startup that utilizes machine learning and biology to transform drug discovery.
H1B Sponsorship
insitro has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (12)
2024 (12)
2023 (12)
2022 (7)
2021 (4)
2020 (8)
Funding
Current Stage
Growth StageTotal Funding
$643MKey Investors
CPP InvestmentsAndreessen Horowitz
2021-03-15Series C· $400M
2020-05-26Series B· $143M
2018-05-02Series A· $100M
Recent News
2026-01-23
Company data provided by crunchbase