Senior Scientist (Cardiac Disease Biology)

Location: South San Francisco, California; onsite 5 days per week

Salary: $156,000–$166,000 per year for successful US-based applicants, plus annual performance bonus and equity eligibility.

Company

Develops machine-learning-driven drug discovery and therapeutics by combining large-scale cellular data, human genetics, and predictive disease models.

What you will do

• Lead the generation, characterization, maintenance, and quality control of iPSC lines and their differentiation into cardiomyocytes.
• Design and optimize scalable iPSC-derived cardiomyocyte assays in 2D monolayer and 3D engineered heart tissue formats.
• Build and apply patient-derived and CRISPR-edited isogenic disease models to study cardiovascular mechanisms.
• Develop high-throughput functional readouts for contractility, electrophysiology, calcium handling, and stress responses.
• Partner with ML scientists, computational biologists, and chemists to generate training data, interpret model outputs, and support target identification and validation.
• Mentor junior scientists and technicians while driving rigorous documentation, SOPs, and reproducible data standards.

Requirements

• Ph.D. in cell biology, biomedical engineering, cardiac physiology, or a related field, plus at least 3 years of industry experience.
• Deep hands-on experience with iPSC culture, cardiac directed differentiation, and iPSC-derived cardiomyocyte characterization across 2D and 3D/EHT platforms.
• Experience building and applying genetic iPSC-derived cardiomyocyte disease models, including patient-derived lines and CRISPR-edited isogenic pairs.
• Strong knowledge of cardiomyocyte biology and cardiovascular disease.
• Experience with high-content imaging or automated microscopy, image analysis pipelines, GWAS, and human genetic evidence.
• Ability to work onsite in South San Francisco 5 days per week.

Nice to have

• Experience connecting cellular phenotypes to disease mechanisms and therapeutic targets.
• Interest in ML-driven experimental design and understanding how biological data shapes model learning.

Culture & Benefits

• Annual performance bonus plan and equity incentive plan eligibility.
• 401(k) plan with employer matching.
• Medical, dental, vision, mental health, and well-being support.
• Flexible vacation policy and paid parental leave.
• Quarterly learning budget, home-office setup stipend, and monthly cell phone and internet stipend.
• Onsite baristas, daily lunch, and a commuter bus network serving the Bay Area.