{"id":1103205,"url":"https://alion.io/job/insitro-full-stack-software-engineer-lab-platform-lims","title":"Full Stack Software Engineer, Lab Platform (LIMS)","company":{"id":58624,"name":"insitro","domain":"insitro.com","url":"https://alion.io/company/insitro","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":83,"open_postings":4,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":78,"computed_at":"2026-11-08T05:47:12Z"}},"role":"Backend","role_family":"Backend","seniority":"junior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["South San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":111000,"max":140000,"currency":"USD","period":"year","gross":null,"usd_annual":140000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Benchling","optional":false},{"name":"GCP","optional":false},{"name":"Go","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Slack","optional":false},{"name":"TypeScript","optional":false},{"name":"Django","optional":true},{"name":"Docker","optional":true},{"name":"FastAPI","optional":true},{"name":"LIMS","optional":true},{"name":"LLM","optional":true},{"name":"Multimodal AI","optional":true},{"name":"PostgreSQL","optional":true},{"name":"SQLAlchemy","optional":true}],"status":"live","first_seen_at":"2026-09-21T23:40:31Z","employer_posted_date":"2026-09-21","last_verified_at":"2026-11-08T07:05:55Z","board_verified":true,"closed_at":null,"days_open":47,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":47},"description":"The Opportunity\ninsitro 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.\nTo 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.\nYou'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.\nResponsibilities\nFull-Stack Ownership\nShip 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\n\nOwn 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\n\nDo the Normal SWE Things: Write code, review design docs, talk to users, and do code reviews that actually make the codebase better\n\nAgentic Tooling & Experimentation\nChase User Appreciation: Ship things that make scientists say \"OMG, this is amazing, thank you so much.\"\n\nFigure Out What's Actually Useful: Test agentic tooling ideas through prototypes, real users, and short iterative loops rather than betting on theory\n\nMove the Needle: Contribute work that meaningfully advances insitro's mission and the pace of drug development\n\nCross-Functional Partnership\nGo Watch the Work: Spend time in the lab observing the workflow before you change it\n\nPartner Broadly: Collaborate closely with machine learning, automation, and biology teams to build tools people actually use\n\nKeep Humans in the Loop: Design for provenance and verifiability, so a scientist can always check what an agent did and why\n\nAbout You\nExperience & Qualifications\nTenure: 2-4+ years of experience as a professional software engineer\n\nEngineering Fundamentals: Working knowledge of AWS or GCP, relational databases, and standard practices like version control and code review\n\nCore Competencies\nProduct 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\n\nCurious 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\n\nComfortable in the Gray Area: You can reason clearly about the tradeoffs between quality and speed\n\nFits the Team: You're up for writing design docs, having opinions in code review, and yes, goofing around on Slack.\n\nPreferred Qualifications\nDomain Experience: Experience with LIMS, lab automation, or another life sciences domain\n\nAgent/LLM Experience: Experience building with LLMs or agent frameworks - tool and skill design, evaluation, or getting a model to behave reliably against real systems\n\nStack Familiarity: Experience with Django, FastAPI, SQLAlchemy, React, TypeScript, PostgreSQL, Docker, or AWS\n\nCompensation & Benefits at insitro\nOur 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.\nThis 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.\nIn addition, insitro also provides our employees:\n401(k) plan with employer matching for contributions\n\nExcellent medical, dental, and vision coverage as well as mental health and well-being support\n\nOpen, flexible vacation policy\n\nPaid 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)\n\nQuarterly budget for books and online courses for self-development\n\nNew hire stipend for home office setup\n\nMonthly cell phone & internet stipend\n\nAccess to free onsite baristas and daily lunch for employees who are either onsite or hybrid\n\nAccess to a free commuter bus network that provides transport to and from our South San Francisco HQ from locations all around the Bay Area\n\ninsitro 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.\nWe 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.\nPlease be aware of recruitment scams: we never request payments, all recruitment communications are from @insitro.com, and if in doubt, contact us at .\nAbout insitro\ninsitro 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.","description_format":"text","description_chars":7448,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible vacation policy","Home office","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["EHR & Clinical Software","Bioinformatics","Drug Discovery","Drug Discovery AI"],"lifecycle":[{"event":"open","at":"2026-09-22T02:25:10Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 11 · green card filings: 2","filings_12m":11,"filings_prev_12m":16,"green_card_filings_12m":2,"median_offered_wage_usd":110962,"route":null,"cap_exempt":false,"checked_at":"2026-11-07T07:57:00+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":1}],"liveness":{"score":57,"band":"ok","label":"Likely open","p_open":1,"p_active":0.789,"p_room":0.72,"age_days":47,"expected_fill_days":78,"reasons":["conf:2","win:mid","crowd:junior"],"computed_at":"2026-11-08T05:47:12Z"},"pay":{"stated_usd_annual":140000,"is_top_pay":true},"html_url":"https://alion.io/job/insitro-full-stack-software-engineer-lab-platform-lims","json_url":"https://alion.io/job/insitro-full-stack-software-engineer-lab-platform-lims.json","meta":{"generated_at":"2026-11-08T08:25:44Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":18231,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-09T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":58624},"rest":"https://alion.io/mcp/rest/get_company?id=58624"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Finsitro-full-stack-software-engineer-lab-platform-lims"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Finsitro-full-stack-software-engineer-lab-platform-lims"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Finsitro-full-stack-software-engineer-lab-platform-lims"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/insitro-full-stack-software-engineer-lab-platform-lims\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Finsitro-full-stack-software-engineer-lab-platform-lims"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":1103205}},{"tool":"search_jobs","arguments":{"company":"insitro.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":1103205},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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