Insitro

Insitro

Full Stack Software Engineer, Lab Platform (LIMS)

South San Francisco, CA · Mid

Sponsorship not specified$111k-$140kDetected 25 days ago
TypeScriptPythonReactDjangoFastAPIFull-Stack DevelopmentCode ReviewPostgreSQLAWSGCPDockerMachine LearningLLMsA/B TestingRoboticsCommunicationMentoring

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odds of building a lasting career here

53Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role76
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level I · 1×
Level I$137,0931 entry
Level II$165,1312 entries
Level III$193,1493 entries
Level IV$221,1874 entries

The bottom of this range ($111,000) is below the Level I prevailing wage of $137,093. An H-1B cannot be filed below the prevailing wage, so an offer at the floor of this band could not be sponsored as posted.

DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • 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.

Responsibilities

  • Ship Across the Stack: Build the React and TypeScript frontends scientists use every day, the Python services behind them, and integrations that reach instruments, Benchling, and agent runtimes
  • Own It End to End: Take a feature from the first conversation with a scientist through the data model and UI to the alert that fires when it breaks
  • Do the Normal SWE Things: Write code, review design docs, talk to users, and do code reviews that actually make the codebase better
  • Keep Humans in the Loop: Design for provenance and verifiability, so a scientist can always check what an agent did and why
  • Fits the Team: You're up for writing design docs, having opinions in code review, and yes, goofing around on Slack.
  • a harness for science, built as an agentic workflow system that lets scientists drive the lab through an agent.
  • This is real robotics, workflow automation, and applied agent tooling - and your users are in the building with you.
  • 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.

Requirements

  • Experience & Qualifications
  • 2-4+ years of experience as a professional software engineer
  • Working knowledge of AWS or GCP, relational databases, and standard practices like version control and code review
  • Experience with LIMS, lab automation, or another life sciences domain
  • Experience with Django, FastAPI, SQLAlchemy, React, TypeScript, PostgreSQL, Docker, or AWS
  • Tenure: 2-4+ years of experience as a professional software engineer
  • Comfortable in the Gray Area: You can reason clearly about the tradeoffs between quality and speed

Nice to have

  • Domain Experience: Experience with LIMS, lab automation, or another life sciences domain
  • Stack Familiarity: Experience with Django, FastAPI, SQLAlchemy, React, TypeScript, PostgreSQL, Docker, or AWS
  • We may also adjust this range in the future based on market data.
  • In addition, insitro also provides our employees:
  • 401(k) plan with employer matching for contributions
  • Quarterly budget for books and online courses for self-development

Compensation

  • Our target starting salary for successful US-based applicants for this role is $111,000 - $140,000.
  • 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.

Benefits

  • 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
  • Partner Broadly: Collaborate closely with machine learning, automation, and biology teams to build tools people actually use
  • To enable that mission, we need a software layer that ties together the scientific, automation, and machine learning platforms - that's our
  • You'll work across the stack - front end, backend, and the integrations that reach into instruments, Benchling, and agent runtimes - partnering closely with our machine learning, automation, and biology teams.
  • Access to a free commuter bus network that provides transport to and from our South San Francisco HQ from locations all around the Bay Area

Company info

  • You're up for writing design docs, having opinions in code review, and yes, goofing around on Slack.

Equal opportunity

  • insitro is an equal opportunity employer.
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This listing is sourced directly from Insitro's careers page and normalized into a canonical job model.