The unprecedented convergence of multi-modal data, advanced disease modeling, and computational power is revolutionizing drug discovery. insitro is harnessing this moment to redefine how medicines are developed for complex diseases. Our AI/ML-enabled platforms integrate and scale data to rapidly discover novel biological insights, identify new targets and drugs, and redefine complex diseases. To enable this vision, we are seeking a Director (or Senior Director) of Translational Medicine and Diagnostics.
This role is an opportunity to directly improve patients' lives by leading translational medicine across our three therapeutic areas — neurology/neurodegeneration, metabolism/cardiovascular, and ophthalmology — and by making clinical trials more efficient and beneficial for patients and drug developers through AI/ML and innovative translational strategies.
Reporting directly to the Chief Medical Officer, you will lead the translational medicine function at insitro, supporting the development of multiple therapeutics — biologics, oligonucleotides, and small molecules — along with multimodal biomarkers and diagnostics. This position can be onsite (three days per week) or hybrid (~one week per month) in our South San Francisco office, with additional travel to relevant medical and translational science conferences and health authorities.
Responsibilities
Translational Strategy & Leadership
Build the Function: Build and lead insitro's translational medicine function, from IND/CTA through clinical proof-of-concept, across biologics, oligonucleotides, and small molecules
Lead Key Assets: Serve as translational lead for advanced pre-clinical and initial clinical-stage assets
Own End-to-End Strategy: Be accountable for translational medicine strategy, GCP adherence, and regulatory-authority interactions, including biospecimen CRO selection and oversight
Biomarker Science & Patient Stratification
Design Stratification Strategies: Design innovative approaches to patient stratification using laboratory and digital biomarkers
Generate Proof-of-Mechanism Evidence: Generate proof-of-mechanism evidence that drives objective, data-driven, and timely go/no-go decisions
Regulatory Strategy, Partnership & Influence
Interpret Regulatory Requirements: Interpret regulatory translational medicine requirements and quantify the return on investment of translational strategies
Partner Across Functions: Collaborate closely with preclinical, clinical, regulatory, and computational teams
Shape the Field: Influence emerging AI/ML policy in translational science through original publications, presentations, and stakeholder engagement
About You
Experience & Qualifications
Advanced Degree: Advanced degree in life sciences, technology, chemistry, or a related discipline, or equivalent practical experience
Proven Tenure: 10+ years of experience in translational science in biotech and/or pharma, including direct experience as a translational lead delivering therapeutics and diagnostic biomarkers from FIH through proof-of-concept to NDA/BLA submission
AI/ML Exposure: Experience applying AI/ML approaches to drug discovery and development
Technical Breadth: Deep understanding of diagnostic and device regulations, good clinical practice, clinical trial design and execution, clinical pharmacology, biostatistics, and the application of computation to drug development
Core Competencies
Cross-Functional Collaborator: Track record of communicating and collaborating effectively with diverse stakeholders across clinical, translational, computational, and life sciences functions
Motivating Leader: Strong interpersonal skills that inspire others to do their best work
Patient-Driven: Genuine passion for bringing better medicines to patients in need
Compensation & Benefits at insitro
Our target starting salary for successful US-based applicants for this role is $224,000 - $299,000. To determine starting pay, we consider multiple job-related factors including a candidate's skills, education and experience, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data.
This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies.
In addition, insitro also provides our employees:
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
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 network that provides transport to and from our South San Francisco HQ from locations all around the Bay Area
insitro is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
We believe diversity, equity, and inclusion need to be at the foundation of our culture. We work hard to bring together diverse teams–grounded in a wide range of expertise and life experiences–and work even harder to ensure those teams thrive in inclusive, growth-oriented environments supported by equitable company and team practices. All candidates can expect equitable treatment, respect, and fairness throughout the interview process.
#LI-Hybrid
Please be aware of recruitment scams: we never request payments, all recruitment communications are from @insitro.com, and if in doubt, contact us at .
About insitro
insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines. At the core of insitro’s approach is the convergence of in-house generated multi-modal cellular data and high-content phenotypic human cohort data. 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. For more information on insitro, please visit www.insitro.com.
Listed by Insitro for a position based in the United States. Employers on this board attest they are hiring domestically.
Senior Scientist, Cardiac Modeling
Location
South San Francisco, CA
Employment Type
Full time
Department
Therapeutic Areas
Overview
Application
The Opportunity
insitro is a physical AI company dedicated to unlocking causal human biology and accelerating the delivery of better medicines to patients. Our unique Virtual Human™ platform identifies novel, high-impact genetic intervention points, which our TherML™ platform translates into therapeutics—whether small molecules, biologics, or oligos. With multiple programs in metabolic disease and neuroscience advancing toward the clinic, and our first IND submission slated for the second half of this year, we are at a pivotal inflection point.
We are seeking a Senior Scientist to join our cardiac disease biology team. In this role, you will own the development and application of iPSC-derived cardiomyocyte (iPSC-CM) models to study the genetic and molecular underpinnings of cardiovascular disease — working at the intersection of human stem cell biology, cardiac physiology, and scalable experimental platforms to generate the datasets that fuel our ML-driven drug discovery efforts. You will design and execute experiments, optimize differentiation and assay workflows, and partner closely with ML scientists, computational biologists, and chemists to connect cellular phenotypes to disease mechanisms and therapeutic targets. Based in South San Francisco, this position reports directly to Vice President, Cardiometabolic Disease - Translational Genetics and requires you to be onsite at our South San Francisco office 5 days per week.
Responsibilities
iPSC-CM Platform & Model Development
Differentiation & QC: Lead the generation, characterization, and maintenance of iPSC lines and their differentiation into cardiomyocytes, with rigorous quality control at each stage of the pipeline
2D & 3D Formats: Design, implement, and optimize iPSC-CM assays in both 2D monolayer and 3D/engineered heart tissue (EHT) formats, with a focus on scalability and data quality
Genetic Disease Models: Build and apply isogenic iPSC-CM disease models — including CRISPR-edited lines carrying disease-associated variants — to study cardiovascular pathophysiology
Functional Assays & Disease Modeling
Functional Readouts: Develop readouts of cardiomyocyte biology relevant to disease —contractility, electrophysiology, calcium handling, stress responses — in formats compatible with high-throughput data acquisition
Rigor & Reproducibility: Drive documentation, SOPs, and data standards that ensure reproducible, publication-quality results across the cardiac biology platform
ML & Cross-functional Partnership
Experiment Design for ML: Partner with ML and computational biology teams to design experiments that generate high-quality training data and to interpret model outputs in biological context
Target Identification: Contribute to target identification and validation efforts by connecting cellular phenotypes to human genetic evidence
Scientific Leadership
Mentorship: Mentor junior scientists and technicians, and contribute to a collaborative, scientifically rigorous team culture
About You
Experience & Qualifications
Advanced Degree: Ph.D. in cell biology, biomedical engineering, cardiac physiology, or a related field, with at least 3 years of industry experience
iPSC-CM Expertise: Deep hands-on experience in iPSC culture, cardiac directed differentiation, and iPSC-CM characterization across both 2D and 3D/EHT platforms
Genetic Disease Modeling: Track record building and applying genetic iPSC-CM disease models — patient-derived lines, CRISPR-edited isogenic pairs — to study cardiovascular mechanisms
Cardiovascular Biology: Strong foundational knowledge of cardiomyocyte biology and cardiovascular disease
High-Content Imaging: Experience with high-content imaging and/or automated microscopy platforms, including image analysis pipelines
Human Genetics: Familiarity with GWAS and human genetic evidence, and experience using these data to prioritize disease mechanisms or therapeutic targets
Scientific Communication: Track record of executing rigorous experiments and communicating findings clearly in publications, presentations, or internal reports
Core Competencies
ML Curiosity: You're enthusiastic about working alongside ML scientists and understand how experimental design shapes what a model can learn
Builder Mentality: You thrive building systems from the ground up and bring the same rigor to a new workflow as to a published experiment
Cross-functional Collaborator: You work fluidly across biology, computation, and chemistry, and communicate clearly across disciplines
Independent & Adaptive: You drive projects forward independently in a fast-paced environment while staying aligned with team priorities
Compensation & Benefits at insitro
Our target starting salary for successful US-based applicants for this role is $156,000 - $166,000. To determine starting pay, we consider multiple job-related factors including a candidate's skills, education and experience, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data.
This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies.
In addition, insitro also provides our employees:
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
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 network that provides transport to and from our South San Francisco HQ from locations all around the Bay Area
insitro is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
We believe diversity, equity, and inclusion need to be at the foundation of our culture. We work hard to bring together diverse teams–grounded in a wide range of expertise and life experiences–and work even harder to ensure those teams thrive in inclusive, growth-oriented environments supported by equitable company and team practices. All candidates can expect equitable treatment, respect, and fairness throughout the interview process.
Please be aware of recruitment scams: we never request payments, all recruitment communications are from @insitro.com, and if in doubt, contact us at info@insitro.com.
#LI-Onsite
About insitro
insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines. At the core of insitro’s approach is the convergence of in-house generated multi-modal cellular data and high-content phenotypic human cohort data. 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. For more information on insitro, please visit www.insitro.com.
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Scientist II, Arrayed Screening
Location
South San Francisco, CA
Employment Type
Full time
Department
Technical Operations
Overview
Application
The Opportunity
The unprecedented convergence of multi-modal data and AI has the potential to revolutionize drug discovery. insitro is harnessing this moment to redefine how medicines are developed for complex diseases. Our success depends on our ability to attract, develop, inspire, and retain amazing, diverse talent and build a collaborative, high-performing, inclusive, and equitable culture.
insitro is seeking a highly motivated Scientist II, Arrayed Screening to join our experimental biology and screening organization. In this role, you will help build, optimize, and execute high-throughput arrayed screening workflows that generate high-quality, decision-grade biological datasets for drug discovery. This is a highly collaborative role at the interface of cell biology, assay development, automated screening, disease modeling, and machine learning. You will work closely with biologists, bioengineers, automation scientists, data scientists, machine learning scientists, and drug discovery teams to design and run scalable cell-based and biochemical assays across therapeutic programs.
The ideal candidate brings deep hands-on experience in cell-based assay development, high-throughput screening, mammalian cell culture, and quantitative data analysis, and is excited to generate robust biological data that can power ML-driven drug discovery. This role reports to the Director, High Throughput Biology and requires you to be onsite at our South San Francisco office 5 days per week.
Responsibilities
Develop, optimize, and execute arrayed screening assays in 96- and 384-well plate formats, including endpoint, kinetic, imaging-based, and/or biochemical readouts.
Design and implement cell-based screening workflows using immortalized, primary, iPSC-derived, or engineered cellular models.
Support small-molecule, genetic, and/or perturbational screening efforts, including assay development, target validation, mechanism-of-action studies, and screening campaigns.
Partner with automation and process engineering teams to scale assays using liquid handlers and screening platforms such as Echo, Hamilton, Bravo, Tecan, or similar systems.
Analyze screening and assay data using appropriate statistical and visualization tools; identify trends, troubleshoot assay performance, and communicate results clearly.
Collaborate with ML and data science teams to ensure experiments generate reproducible, well-annotated, model-ready datasets.
Work cross-functionally with disease biology, genetics, cell modeling, and drug discovery teams to translate biological questions into scalable experimental designs.
Maintain rigorous documentation in Benchling/LIMS systems and contribute to best practices for assay robustness, reproducibility, and data quality.
Present experimental plans, results, and recommendations to multidisciplinary project teams.
About You
PhD in cell biology, molecular biology, biochemistry, pharmacology, bioengineering, chemical biology, or related fields. 2–5 years of relevant post-PhD or equivalent industry experience, with demonstrated independence in assay design and project leadership.
Strong hands-on experience developing and running cell-based assays in high-throughput plate formats.
Experience with high-content imaging, fluorescence/luminescence assays, viability assays, reporter assays, immunostaining, flow cytometry, or other quantitative cellular readouts.
Strong mammalian cell culture skills, including aseptic technique and experience with immortalized, primary, stem-cell-derived, or engineered cell systems.
Familiarity with molecular biology approaches such as cloning, CRISPR/gene editing, transgene expression, stable cell line generation, qPCR, or related methods.
Experience with screening automation and liquid handling platforms is strongly preferred.
Comfortable working with small molecules, biologics, siRNA/ASO, CRISPR reagents, or other perturbation modalities.
Ability to analyze, interpret, and clearly communicate complex biological datasets.
Experience with GraphPad Prism, Spotfire, Benchling, Python, or R. Familiarity with agents and LLM’s is a plus.
Excellent organizational skills, attention to detail, and ability to manage multiple experiments or project workstreams in parallel.
Strong collaborative mindset and enthusiasm for working in a multidisciplinary environment that brings together biology, engineering, data science, and machine learning.
What Will Make You Stand Out
Prior experience in biotech or pharma high-throughput screening.
Experience developing phenotypic assays for disease-relevant human cell models.
Experience generating datasets for machine learning, image analysis, or quantitative modeling.
Familiarity with assay miniaturization, automation troubleshooting, Z-factor / assay quality metrics, dose-response analysis, or screening data QC.
Experience working across therapeutic areas such as neuroscience, metabolic disease, oncology, immunology, or rare disease.
Compensation & Benefits at insitro
Our target starting salary for successful US-based applicants for this role is $136,000 - $145,000. To determine starting pay, we consider multiple job-related factors including a candidate's skills, education and experience, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data.
This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies.
In addition, insitro also provides our employees:
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
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 network that provides transport to and from our South San Francisco HQ from locations all around the Bay Area
insitro is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
We believe diversity, equity, and inclusion need to be at the foundation of our culture. We work hard to bring together diverse teams–grounded in a wide range of expertise and life experiences–and work even harder to ensure those teams thrive in inclusive, growth-oriented environments supported by equitable company and team practices. All candidates can expect equitable treatment, respect, and fairness throughout the interview process.
Please be aware of recruitment scams: we never request payments, all recruitment communications are from @insitro.com, and if in doubt, contact us at info@insitro.com.
#LI-Onsite
About insitro
insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines. At the core of insitro’s approach is the convergence of in-house generated multi-modal cellular data and high-content phenotypic human cohort data. 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. For more information on insitro, please visit www.insitro.com.
Apply for this Job
Powered by
Privacy PolicySecurityVulnerability Disclosure
Listed by Insitro for a position based in the United States. Employers on this board attest they are hiring domestically.