Senior Director / Vice President

Neuroscience, Genetics

Updated on 6/11/2024



201-500 employees

Data-driven drug discovery using machine learning

AI & Machine Learning
Data & Analytics


San Bruno, CA, USA

  • MD or MD/PhD in technical field (Neuroscience, Genetics, etc.) with 10 years of experience in target/drug discovery in industry or academia
  • Scientific track record in neuroscience or neurobiology with a focus on neurodegeneration
  • Experience with human genetics with a focus on target validation of genome-wide association studies
  • Demonstrated track record in building partnerships or collaborations with data scientists or computational biologist, engineers and experimental biologist
  • Experience in basic research, translational biology, and supporting clinical development
  • Experience leading a high-performance team, including goal setting, and contributing to a culture of high-quality methods development and reducing those methods to a practical implementation
  • Effective communication and collaboration skills with diverse backgrounds and job functions
  • Passion for making a difference in the world
  • Contribute to insitro's strategy in neuroscience focusing on neurodegenerative disease
  • Work cross-functionally as a project team lead to design experiments with large cohort human data, genome-wide association studies, high-throughput experimental assays, and machine learning models
  • Lead efforts to follow up on targets with statistical genetics and clinical machine learning teams to produce viable therapeutic interventions
  • Provide clinical support as the project moves into the clinic and work closely with clinical groups and chief medical officer
  • Lead external collaborations with partners and other organizations in the neurosciences area

Insitro is a data-driven drug discovery and development company leveraging machine learning, human genetics, and high-throughput biology to create predictive in vitro human cell-derived disease models, with a focus on revolutionizing traditional drug discovery and reducing costs. Their technologies include machine learning and high-throughput, quantitative biology to build predictive disease models.

Company Stage

Series C

Total Funding



South San Francisco, California



Growth & Insights

6 month growth


1 year growth


2 year growth



Excellent medical, dental, and vision coverage

Excellent mental health and well-being support

Open vacation policy

Access to free onsite baristas & cafe with daily lunch and breakfast

Access to free onsite fitness center

Commuter benefits

Paid parental leave

Competitive pay and 401(k) matching

Flexible work schedule (on site and remote)