insitro · 22 hours ago
Senior Computational Biologist, Omics
South San Francisco, CA
Full-time
Hybrid
Mid, Senior Level
$175K/yr - $200K/yr
3+ years expInsitro is a drug discovery and development company utilizing machine learning and data at scale to decode biology for transformative medicines. They are seeking a Senior Computational Biologist to analyze omics datasets, collaborate with experimental biologists, and integrate multimodal data to understand disease mechanisms and generate therapeutic hypotheses.
BiotechnologyHealth CareLife ScienceMachine LearningPharmaceuticalTherapeutics
Responsibilities
Analyze and interpret omics datasets from disease-relevant in-vitro models to identify potential therapeutic targets from perturbation screens
Partner with experimental biologists to design, troubleshoot, and optimize high-throughput experiments and workflows
Integrate insights from multimodal data (bulk/single-cell RNA-seq, microscopy, spatial proteomics, human cohort data) to understand disease mechanisms and generate therapeutic hypotheses
Calibrate analysis tools and workflows, define performance metrics, and conduct benchmarking to select fit-for-purpose solutions
Communicate findings clearly to cross-functional stakeholders through reports, visualizations, presentations, and publications
Qualification
Required
Ph.D. in computational biology, systems biology, bioengineering, machine learning, or a related discipline, with 3+ years of working experience post graduation
Extensive hands on experience analyzing single-cell and bulk RNA-seq data
Experience working with functional genomic assays data (RNA/ATAC/ChIP-seq, etc)
Experience analyzing data from perturbational screens (e.g. perturb-seq)
An understanding of systems biology, molecular biology, or disease biology (e.g. neurological disorders, metabolic disorders)
Experience with spatial proteomics and/or transcriptomics
Strong programming skills and proficiency with Python scientific packages (i.e., numpy, pandas, scanpy)
Ability to communicate effectively and collaborate with people of diverse backgrounds and job functions
Committed to writing well-commented code and documentation, and familiarity with coding best practices (i.e. version control, code review)
Publication record of meaningful contributions to high-quality work in relevant computational biology, systems biology, life sciences, or biomedical venues
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.
201-500 employees
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
Leadership Team
Daphne Koller
Founder and CEO
D
Divya Kanichar
Director
Recent News
2026-01-06
Company data provided by crunchbase