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Insitro · South San Francisco, CA · posted 49 days ago
By AtiveSite · Published 07/11/2026 · Updated 09/11/2026 · Every figure is linked to its source below.
| Employer | Insitro |
|---|---|
| Location | South San Francisco, California |
| Field | Technology › Software engineering |
| Level | not stated |
| Source category | Software Engineering, Lab Information Management Systems |
| Posted | 2026-09-21 (49 days ago) |
| Work arrangement | On-site at the location listed |
| Pay | Not published in the source listing |
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.
To enable that mission, we need a software layer that ties together the scientific, automation, and machine learning platforms — that's our Lab Platform: a harness for science, built as an agentic workflow system that lets scientists drive the lab through an agent. Our bar is that everything in the lab should be agentically accessible (any action a scientist can take, an agent can take), agentically legible (agents understand what the data means in insitro's context, not just how to fetch it), and humanly verifiable (a scientist can always check what an agent did and why). This is real robotics, workflow automation, and applied agent tooling — and your users are in the building with you.
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. Based in South San Francisco, this role reports directly to Senior Manager, Software Engineering and offers an in-person hybrid schedule of three days per week. We'll bring you up to speed in the domain of drug development and back your ideas with real trust and mentorship along the way.
Full-Stack Ownership
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
Agentic Tooling & Experimentation
Chase User Appreciation: Ship things that make scientists say "OMG, this is amazing, thank you so much."
Figure Out What's Actually Useful: Test agentic tooling ideas through prototypes, real users, and short iterative loops rather than betting on theory
Move the Needle: Contribute work that meaningfully advances insitro's mission and the pace of drug development
Cross-Functional Partnership
Go Watch the Work: Spend time in the lab observing the workflow before you change it
Partner Broadly: Collaborate closely with machine learning, automation, and biology teams to build tools people actually use
Keep Humans in the Loop: Design for provenance and verifiability, so a scientist can always check what an agent did and why
Experience & Qualifications
Tenure: 2–4+ years of experience as a professional software engineer
Engineering Fundamentals: Working knowledge of AWS or GCP, relational databases, and standard practices like version control and code review
Core Competencies
Product Instinct: You think like a product person — you want to know who the user is, what they're actually trying to do, and you have opinions about what to build
Curious About the Science: You don't need a biology background, but you want to learn the domain rather than treat it as someone else's problem
Comfortable in the Gray Area: You can reason clearly about the tradeoffs between quality and speed
Fits the Team: You're up for writing design docs, having opinions in code review, and yes, goofing around on Slack.
Preferred Qualifications
Domain Experience: Experience with LIMS, lab automation, or another life sciences domain
Agent/LLM Experience: Experience building with LLMs or agent frameworks — tool and skill design, evaluation, or getting a model to behave reliably against real systems
Stack Familiarity: Experience with Django, FastAPI, SQLAlchemy, React, TypeScript, PostgreSQL, Docker, or AWS
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. 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 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)
Quarterly budget for books and online courses for self-development
New hire stipend for home office setup
Monthly cell phone & internet stipend
Access to free onsite baristas and daily lunch for employees who are either onsite or hybrid
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
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-Hybrid
Please be aware of recruitment scams: we never request payments, all recruitment communications are from @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.
Field: Technology Sub-niche: Software engineering All jobs at Insitro Jobs in California Jobs in South San Francisco, CA South San Francisco city guide California state guide San Mateo County economy
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This is a — role in the Technology field (Software engineering) at Insitro.
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Estimate for a wage earner: 2026 federal brackets and standard deduction (IRS), Social Security 6.2% up to $184,500, Medicare 1.45% (+0.9% above $200,000 single / $250,000 married), and a state rate you set; set your own state tax rate. It ignores credits, pre-tax deductions, local taxes and benefits. Sources: IRS: tax year 2026 inflation adjustments · SSA wage base per Federal Register notice 2025-19763.
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The job is in South San Francisco, CA. Below is what the official statistics say about living and working there.
How South San Francisco compares. Among the 145 largest places in California, South San Francisco is #123 by population, #118 for rent (#1 = cheapest), #38 for household income (#1 = highest), #48 for long commutes (#1 = fewest). Its county, San Mateo County, is #2 of 58 counties for average pay ($196,441).
South San Francisco has 64,305 residents (ACS 2020–2024), about 0.2% of the population of California. It covers 9 square miles of land, which works out to roughly 6,987 people per square mile. The median age is 43.2, 14% older than the state median (43.2 against 37.9).
The median gross rent is $2,802 a month (rent plus utilities), 38% above the state median ($2,802 against $2,036). Over a year that is 24.6% of the median household income. US housing guidance treats housing as affordable when it takes 30% of income or less, so the typical household is under that line. The median home value is $1,188,800, which is 8.7 times the median household income ($136,578); a ratio above 5 usually means buying is out of reach without savings or a second income. 59.0% of households own their home, 6% above the state average (59.0% against 55.9%).
The San Francisco-Oakland-Fremont, CA metropolitan area has 2,373,920 jobs in the BLS wage survey, and the median pay across all occupations is $74,260 a year, 46% above the national median ($74,260 against $50,980). The biggest occupation groups are office and administrative support (226,320 jobs, median $62,120); management (223,100 jobs, median $176,340); business and financial operations (207,030 jobs, median $112,960). The area is most specialised in computer and mathematical (1.9 times) and life, physical, and social science (1.8 times), where the share of workers is well above the national share. The best-paying groups with at least 5,000 jobs are management ($176,340) and computer and mathematical ($167,770). In 2026M09 the unemployment rate of San Mateo County was 3.9%. 67.0% of residents aged 16 and over are in the labour force. The city lies in San Mateo County; its jobs, pay by industry and GDP are on the county page.
Among workers, 61.4% drive alone, 5.5% use public transit, 1.9% walk, 17.4% work from home. 15.2% of workers commute 45 minutes or more, 21% below the state average (15.2% against 19.4%).
40.8% of adults aged 25 and over hold a bachelor's degree or higher, 10% above the state share (40.8% against 37.1%). 40.1% of residents were born outside the United States, 49% above the state share (40.1% against 27.0%). The poverty rate is 6.7%, 44% below the state rate (6.7% against 12.0%).
The warmest month is Sep, averaging 61°F (16.0°C), and the coolest is Jan at 51°F (10.7°C). About 515 mm (20 inches) of precipitation falls in a year; Dec is the wettest month (115 mm) and Jul the driest (2 mm). These values come from NASA satellite-based climatology on a grid of about 50 km, so they describe the wider area, not a weather station in the city.
Closest cities in this guide: Brisbane (1 miles, rent 8% lower); San Bruno (4 miles, similar rent); Millbrae (4 miles, rent 17% higher); Burlingame (5 miles, similar rent). Rent differences are against South San Francisco; use the Compare tab to put any two cities side by side.
Full guide to South San Francisco →California guideAll jobs in South San Francisco
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A private-sector role in technology (software engineering) listed 49 days ago. The full description is on this page and on the employer's page.
South San Francisco, CA.
Use the "View this job and apply on the employer's page" button. AtiveSite does not receive applications.
The listing does not publish pay, and we could not match the title to one official occupation.
Median rent in South San Francisco is $2,802 a month and median household income $136,578 (ACS 2020–2024).
It was posted on 2026-09-21 (49 days ago). Jobs older than 90 days are not shown.
Yes: browse software engineering jobs in California.
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