Full-Time

Director/Senior Director

Neurodegeneration

Confirmed live in the last 24 hours

Insitro

Insitro

201-500 employees

Machine learning for drug discovery efficiency

AI & Machine Learning
Biotechnology

Compensation Overview

$210k - $270kAnnually

+ Annual Performance Bonus + Equity Incentive Plan

Senior

San Bruno, CA, USA

Expected to work onsite at the office in South San Francisco, CA.

Category
Computational Biology
Genomics
Biology Lab & Research
Biology & Biotech
Required Skills
Data Science
Requirements
  • PhD or MD/PhD in a technical field (Neuroscience, Genetics, etc.) with 8+ years of industry experience in drug discovery, incl. 4+ years as a cross-functional project team leader in an industry setting
  • A scientific track record in neurodegeneration or a related area with a focus on discovery or translational biology
  • Experience running cross-functional drug discovery projects
  • Demonstrated track record in building partnerships or collaborations with data scientists or computational biologists, engineers and experimental biologists
  • Experience leading a high-performance team, including goal setting, and contributing to a culture of effective, high-quality methods development, including their practical implementation
  • Capable of communicating effectively and collaborate with people of diverse backgrounds and job functions, including a track record of collaborating with life scientists
  • Experience in translating insights from large scale human cohort data into drug discovery programs is a plus
  • Passion for making a difference in the world!
Responsibilities
  • Contribute to insitro's strategy in neuroscience focusing on neurodegenerative disease
  • Work cross-functionally as a project team lead to design both experimental strategies and machine learning models to help identify drug targets and biomarkers, deconvolute biology, and help stratify patients
  • Lead efforts to follow up on novel neurodegeneration targets with the goal of producing viable therapeutic interventions
  • Participate in & lead neuroscience external collaborations

Insitro specializes in drug discovery and development by using machine learning and biological tools to predict successful paths in the pharmaceutical research process. Their predictive models aim to reduce the costly failures that are common in drug development. The company collaborates with scientists and engineers to generate data that enhances the efficiency of discovering new medicines. Insitro's goal is to provide pharmaceutical companies and research institutions with more effective methods for developing drugs.

Company Stage

Series C

Total Funding

$625.5M

Headquarters

San Francisco, California

Founded

2018

Growth & Insights
Headcount

6 month growth

12%

1 year growth

22%

2 year growth

51%
Simplify Jobs

Simplify's Take

What believers are saying

  • With over $600 million in venture capital funding, Insitro is well-positioned for sustained growth and innovation in the pharmaceutical R&D sector.
  • The appointment of high-caliber professionals like Emily Fox and Philip Tagari strengthens Insitro's capabilities in AI-driven drug discovery and development.
  • Insitro's partnerships and board appointments, such as Amy Abernethy, indicate strong industry recognition and potential for impactful collaborations.

What critics are saying

  • The competitive landscape in AI-driven drug discovery is intense, with well-funded competitors like Xaira Therapeutics posing significant challenges.
  • Ethical and social justice issues related to AI in drug development, such as data privacy and diversity in clinical trials, could pose regulatory and reputational risks.

What makes Insitro unique

  • Insitro integrates machine learning with modern biological tools to create predictive models, setting it apart from traditional pharmaceutical R&D approaches.
  • The company's focus on data-driven insights and predictive modeling aims to reduce the high failure rates in drug discovery, a significant pain point in the industry.
  • Insitro's leadership team, including experts like Emily Fox and Philip Tagari, brings unparalleled expertise in AI, machine learning, and drug development, enhancing its competitive edge.

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Benefits

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)