Lead/ Senior Automation Engineer

The posting, as insitro wrote it

THE OPPORTUNITY

insitro is a physical AI company dedicated to unlocking causal human biology and accelerating the delivery of better medicines to patients. Our unique Virtual Human™ platform identifies novel, high-impact genetic intervention points, which our TherML™ platform translates into therapeutics—whether small molecules, biologics, or oligos. With multiple programs in metabolic disease and neuroscience advancing toward the clinic, and our first IND submission slated for the second half of this year, we are at a pivotal inflection point.

As a Lead/Senior Automation Engineer, you will collaborate with scientists, software engineers, and microscopy engineers to build and develop high quality automated systems and protocols. 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.

Join us, and help make a difference to patients!

RESPONSIBILITIES

• 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
• Collaborate with folks from our machine learning, software engineering and scientific groups to solve questions ranging from technology onboarding, minimizing batch effects, or process improvements
• Identify opportunities in how we develop, test and deploy automation solutions more efficiently
• Work with automation leadership to create a census of automation, its current usage, and develop and implement a plan for areas of retirement, growth, or re-deployment.

ABOUT YOU

• 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 dai

[…]
provides transport to and from our South San Francisco HQ from locations all around the Bay Area

insitro is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

We believe diversity, equity, and inclusion need to be at the foundation of our culture. We work hard to bring together diverse teams–grounded in a wide range of expertise and life experiences–and work even harder to ensure those teams thrive in inclusive, growth-oriented environments supported by equitable company and team practices. All candidates can expect equitable treatment, respect, and fairness throughout the interview process.

#LI-Onsite

Please be aware of recruitment scams: we never request payments, all recruitment communications are from @insitro.com http://insitro.com, and if in doubt, contact us at info@insitro.com.

About insitro

insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines. At the core of insitro’s approach is the convergence of in-house generated multi-modal cellular data and high-content phenotypic human cohort data. 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. For more information on insitro, please visit www.insitro.com http://www.insitro.com.