I

Insitro

ML-driven predictive drug discovery and development

Lead/Senior Automation Engineer

Controls & Automation EngineeringConfirmed live in the last 24 hours
Full-timeSouth San Francisco, CA, USA

About the Job

Requirements

  • A bachelor's degree or higher in Robotics, Mechanical Engineering, Electrical Engineering, Chemical Engineering, Software Engineering, Bioengineering, Physics, Chemistry, or Biology.
  • Professional experience working with automation hardware: 8+ years with a bachelor's degree, 6+ years with a master's degree, or 3+ years with a Ph.D.
  • Proficiency in automation and systems development or integration within the life sciences industry, specifically with robotics and liquid handling platforms.
  • Proficiency in Python, SQL, and/or C# programming and data handling, including database work, is highly preferred.
  • Understanding of existing capabilities in the lab automation industry and a track record demonstrating technical depth in automation systems of varying scale.
  • Ability to complete complex projects independently and provide guidance to others on daily work.
  • Experience managing relationships with other engineering functions, such as third-party service providers and vendors or internal mechanical or software engineering teams.
  • Experience automating scientific workflows, such as cell culture, genomic screening, or DNA-encoded library processes.

Responsibilities

  • Embed with scientific teams to define workflows, develop process-specific quality control metrics, and drive translation of workflows onto automation systems.
  • Design, develop, and qualify new workcells and liquid handling protocols to enable new platform capabilities.
  • Collaborate with the LIMS team to develop and implement automated data capture and LIMS integration, ensuring seamless data flow from robots to AI and machine learning pipelines.
  • Work with the Systems Engineering team to diagnose and resolve complex mechanical, software, and system integration issues to minimize equipment downtime and maintain operational continuity.
  • Collaborate with machine learning, software engineering, and scientific groups to address technology onboarding, minimizing batch effects, and process improvements.
  • Identify opportunities to improve the efficiency of developing, testing, and deploying automation solutions.
  • Work with automation leadership to create a census of automation and its current usage, and develop and implement a plan for retirement, growth, or redeployment.

Desired Qualifications

  • Proficiency in Python, SQL, and/or C# programming and data handling, including database work.

About the Company

Insitro

ML-driven predictive drug discovery and development

Insitro integrates machine learning with biology to speed up drug discovery and development. It builds predictive models from large-scale data to forecast which targets, molecules, or paths are most likely to succeed and prioritizes experiments accordingly. Unlike firms that rely on either biology or ML alone, it combines data generation and modeling in an integrated workflow with scientists and engineers collaborating on drug candidates. Its goal is to shorten development timelines and reduce costly failures by delivering data-driven insights and co-developing medicines with pharma partners.

Company size
201-500
Company stage
Series C
Total funding
$643M
Headquarters
San Francisco, CA
Founded
2018

Recently Posted Jobs

Explore more opportunities at Insitro

See more jobs