Insitro

Senior Automation Engineer

South San Francisco, CA · Senior

Sponsorship not specified$173k-$183kDetected 6 days ago

PythonC#SQLMachine LearningSystems EngineeringRoboticsMicroscopyCell CultureLeadershipCommunication

About the role

At insitro, we aim to bring better drugs faster to the patients who can benefit most, through machine learning and data at scale.
You will be a member of the Automation team and report to the Director, Process Engineering.
This is an onsite role expected to be in the office at least 4 days/week in our South San Francisco Headquarters.

Embed with folks within the scientific teams to define workflows, develop process specific QC metrics, and drive the translation of workflows onto automation systems
Design, develop and qualify new workcells and liquid handling protocols to enable new platform capabilities
Collaborate closely with the LIMS team to develop and implement automated data capture and LIMS integration to ensure seamless data flow from the robot to our AI/ML 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
Identify opportunities in how we develop, test and deploy automation solutions more efficiently
We rely on these data to develop ML-driven, predictive disease models that uncover underlying biologic state and elucidate critical drivers of disease.
These powerful models rely on extensive biological and computational infrastructure and allow insitro to advance novel targets and patient biomarkers, design therapeutics and inform clinical strategy. insitro is advancing a wholly owned and partnered pipeline of insights and therapeutics in neuroscience and metabolism.
Since launching in 2018, insitro has raised over $700 million from top tech, biotech and crossover investors, and from collaborations with pharmaceutical partners.

Bachelor's degree or higher in Robotics, Mechanical, Electrical, Chemical, Software or Bioengineering, or Physics, Chemistry or Biology
B.S, with 8+ years, M.S with 6+ years, or Ph.D. with 3+ years of professional experience working with automation hardware
Proficiency in automation and systems development/integration within the life sciences industry, specifically with robotics and liquid handling platforms
Proficiency in software programming (Python, SQL, and/or C#) and data handling (including database work) is highly preferred
You understand existing capabilities of the lab automation industry and have a track record showing technical depth in automation systems of varying scale
You are comfortable completing work independently on complex projects and can also give guidance to others on daily work
You have experience in managing the relationship to other engineering functions (eg. third party service providers and vendors or internal mechanical or software engineering teams)
You have experience automating scientific workflows (ex.

Our target starting salary for successful US-based applicants for this role is $173,000 - $183,000.
To determine starting pay, we consider multiple job-related factors including a candidate's skills, education and experience, market demand, business needs, and internal parity.
This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies.

To determine starting pay, we consider multiple job-related factors including a candidate's skills, education and experience, market demand, business needs, and internal parity.
Excellent medical, dental, and vision coverage as well as mental health and well-being support
Open, flexible vacation policy
Paid parental leave of at least 16 weeks to support parents who give birth, and 10 weeks for a new parent (inclusive of birth, adoption, fostering, etc)
New hire stipend for home office setup
Monthly cell phone & internet stipend

This listing is sourced directly from Insitro's careers page and normalized into a canonical job model.