# Senior Scientist, Cardiac Modeling at Insitro

- Company: Insitro
- What the company does: At insitro, we are building a different kind of drug company to bring better drugs faster to the patients who can benefit most. Through the power of machine learning (ML) and data at scale, we decode the complexities of biology to unlock transformative new... Backed by SoftBank VF, a16z and GV.
- Company website: https://www.insitro.com/
- Type: Startups
- Level: Senior
- Location: South San Francisco, CA
- Work setup: On-site
- Pay: $156K to $166K base salary per year (USD)
- Posted: 2026-08-26
- Apply by: 2026-10-10
- Apply: https://jobs.ashbyhq.com/insitro/0aea232d-aaac-4a2f-b26e-6b1cf23f8466
- Page: https://www.1752.vc/careers/jobs/insitro-senior-scientist-cardiac-modeling/

## About the role

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.

## What they're looking for

- 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

Tags: Therapeutic Areas