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Full Stack Software Engineer, Lab Platform



Software Engineering
South San Francisco, CA, USA
Posted on Wednesday, August 16, 2023

The Opportunity

At insitro, we are trying to greatly increase the success rate of drug development by combining human biology and machine learning, at scale. To enable that mission we need a software layer that ties together the scientific, automation, and machine learning platforms: that software is our Lab Platform! We’re a team of ~9 engineers with a mission to accelerate the pace of science at insitro. Projects on our roadmap include building a universal experiment request system, delivering our next-gen experimental design tool, and bringing together all of our experiment data into a searchable umbrella interface. These projects push forward some really cool solutions in robotics, workflow automation, and lab orchestration technology.

What you'll do:

  • Ship stuff that makes our scientists say “OMG, this is amazing, thank you so much!”
  • Collaborate with folks from our Machine Learning, automation, and biology groups
  • Understand our mission and contribute to our roadmap with your own ideas
  • Shape our early-ish engineering culture with your ideas
  • All the normal SWE stuff: write code, review design docs, talk to users, and do code reviews.
  • Ultimately you’ll move the needle in a meaningful way for insitro and field of medicine

In return, we will support you by:

  • Placing a high degree of trust in your ideas and execution
  • Bringing you up to speed in the domain of drug development
  • Providing a low-stress work environment
  • Making ourselves available for collaboration and mentorship
  • Caring about you as a whole person— not a resource
  • Being a well funded startup with conservative runway

About you:

  • You have 2-4+ years of experience as a professional software engineer
  • You’re eager to ship stuff that makes a difference to users
  • You feel comfortable reasoning about the tradeoffs between quality and speed when building in a startup environment
  • You’re familiar with the usual SWE things: AWS (or GCP), relational databases, writing design docs, version control, doing code reviews, goofing around on Slack

Nice to have:

  • Experience with LIMS, automation, or a life sciences domain
  • Experience with our stack: Django, Flask, FastAPI, SQLAlchemy, React, TypeScript, PostgreSQL, Docker

Compensation & Benefits at insitro

Our target starting salary for successful US-based applicants for this role is $130,000 - $170,000 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. We may also adjust this range in the future based on market data.

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.

In addition, insitro also provides our employees:

  • 401(k) plan with employer matching for contributions
  • Excellent medical, dental, and vision coverage (insitro pays 100% of premiums for employees), as well as mental health and well-being support
  • Open, flexible vacation policy
  • Paid parental leave
  • Quarterly budget for books and online courses for self-development
  • Support to occasionally attend professional conferences that are meaningful to your career growth and development
  • New hire stipend for home office setup
  • Monthly cell phone & internet stipend
  • Access to free onsite baristas and cafe with daily lunch and breakfast
  • Access to free onsite fitness center
  • Commuter benefits
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, oncology 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.