--- title: 'AI Biologist - Human Physiology at LatchBio' canonical: 'https://feeny.ai/job/ai-biologist-human-physiology-latchbio-san-francisco-3rxf8aj5yycm' type: 'job' last_seen: '2026-11-03' --- # AI Biologist - Human Physiology at LatchBio - **Company:** LatchBio - **Location:** San Francisco, CA - **Compensation:** $140k–$180k - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-11-03 - **Last confirmed live:** 2026-11-03 - **Apply:** https://jobs.ashbyhq.com/latchbio/c5acb583-8dc6-4010-9b08-23e8f14b24fd ## Job description AI Biologics - Human Physiology Latch builds rigorous scientific benchmarks ([benchmarks.bio](http://benchmarks.bio)) for AI agents across biology. We work with frontier labs and pharma to measure whether agents can handle real biological workflows: the messy, multi-layer reasoning that matters in the field. We're seeking an AI Biologist with deep expertise in human physiology to join our team, working at the frontier of what artificial intelligence can achieve in biology. ## About the Role You will help develop rigorous scientific evaluations that test AI agents' ability to solve complex problems in human biology and disease. We are looking for an exceptional scientist who understands how human physiological systems function, interact, and respond to perturbations. You will apply your scientific expertise to identify meaningful research problems, work with real experimental and clinical data, and establish defensible ground truth against which AI agents can be evaluated. This is a science-first role. We value deep biological understanding, scientific creativity, and critical thinking over advanced programming expertise. ## What You'll Do - Design scientific evaluations: Develop challenging, biologically meaningful research problems that test AI agents' scientific reasoning and problem-solving abilities. - Work with real biological data: Identify, evaluate, and analyze datasets from published research, clinical studies, and physiological experiments to establish reliable ground truth. - Apply scientific judgment: Critically assess experimental designs, biological mechanisms, data quality, and alternative explanations to ensure evaluations are scientifically rigorous. - Evaluate AI agents: Investigate where AI systems succeed or fail at interpreting biological evidence, connecting physiological mechanisms, and drawing scientifically defensible conclusions. - Collaborate across disciplines: Work closely with scientists and engineers, using AI-assisted research and coding tools to accelerate scientific analysis and benchmark development. ## Requirements - PhD, MD, or equivalent research experience in Human Physiology, Integrative Physiology, Translational Medicine, Endocrinology, Cardiovascular Physiology, or a closely related field. - Deep understanding of human physiology, including interactions between organ systems and mechanisms regulating human health and disease. - Strong track record of independent scientific research, experimental design, and interpretation of complex biological findings. - Exceptional scientific reasoning, critical thinking, and ability to formulate and evaluate mechanistic hypotheses. - Experience analyzing experimental, physiological, or clinical research data. - Working knowledge of Python or R for scientific data analysis. - Familiarity with AI tools such as Claude, ChatGPT, or Codex, or willingness to learn and incorporate them into research workflows. Nice-to-Have - Research experience spanning multiple physiological systems. - Experience with human clinical studies, longitudinal datasets, or physiological intervention studies. - Experience integrating molecular, physiological, and clinical data. - Familiarity with computational or quantitative approaches to studying human physiology Culture @ Latch We practice radical transparency: you’ll know how the company is doing, what’s working, and what isn’t. It’s always us against the problem, never each other. We’re opinionated but respectful of each other’s time, and we think through possible solutions before bringing a problem to anyone. We use AI constantly, so we reward original expert judgment, not AI output passed off as your own. You’ll start on the bench that fits your expertise and can move across teams as you build a track record. Outside of work: company outings most months, team off-sites, and a community that does cycling, soccer, figure skating, boxing, running, martial arts, music, books, and game nights. ## Compensation & Logistics Pay: $140K–$180K OTE (on-target earnings), with no ceiling. - Your pay is your OTE times your weekly quota attainment. Hit quota, earn your OTE; double it, earn double. Example: $150K OTE at double quota = $300K. - Your first 4 weeks (ramp) are paid at full OTE while we train you. - You’re paid full OTE whenever quota can’t fairly apply: when a new project is starting, the platform goes down, or we pull you onto a special project. In the US: full-time W-2 - Guaranteed base set by your state, paid every paycheck no matter what - Health, dental, vision: 100% covered for you, 50% for dependents - 401(k) (no match) - PTO: 12 days to start, more as you’re promoted Outside the US: contractor - Paid on performance, with a monthly advance of 60% of OTE that’s never clawed back. US benefits don’t apply. Growth: two tracks, based on output, not tenure. - Individual contributor: six levels, so up to five promotions, with OTE rising at each one. - Management: after your first promotion, you can move into managing a pod if that’s what you want. Location: fully remote is fine; onsite is preferred, at our Mission Bay waterfront office in SF with catered lunch and dinner and unlimited snacks. Work authorization: we sponsor H-1B (new and transfers), O-1, and TN, and support STEM OPT. Interview Process - Apply. If your profile matches, we’ll send you a take-home project. - Take-home project (HackerRank). We review it as soon as it arrives. - Technical interview with a Member of Technical Staff (pod lead), scheduled right after your project review. - Culture interview with our C-suite. - Offer. - Background check, once you accept. ## About LatchBio ## Company Overview - **One-liner**: LatchBio builds and deploys frontier AI agents for biological data analysis, serving over 300 biopharma and R&D labs worldwide. - **Entity Type**: Private (Series A; total funding $33.2M) - **Headquarters**: San Francisco, California, United States - **Founded**: 2021 - **Founders**: Alfredo Andere (CEO) and Kenny Workman (CTO) ## Core Business - Primary industry: Biotechnology Research / AI for biology - Target customers: B2B – biopharma companies, academic R&D labs, and solution providers (kits, assays, instrument vendors) - Mission: Deploy AI agents into real scientific work to accelerate data analysis and drug discovery ## Products & Services - **Latch Platform**: A unified, serverless bioinformatics platform that lets scientists run, track, and debug pipelines via an SDK-generated no-code interface. Supports FastQ, CSV, H5AD, TIFF, and other formats. Agents can analyze messy real-world data. - **Latch SDK**: Python toolchain to define serverless workflows and dynamically generate no-code UIs, removing cloud-infrastructure overhead. - **agent.bio**: Public, interactive sandbox where frontier AI agents (e.g., Claude 4.8 Opus) analyze biological data. Supports 40+ solution providers. - **benchmarks.bio**: Open, reproducible benchmarks measuring AI agent performance on spatial, single-cell, epigenomics, and preclinical pharmacology data. Includes papers like scBench-Long, TxBench-PP, etc. - **White-labeled data analysis**: Solution providers can offer a branded, simpler analysis experience for their kits and services. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed - **Key Metric**: Annual revenue of ~$1.0M (LinkedIn estimate); total funding $33.2M - **Notable Investors/Partners**: Coatue, Lux Capital, Fifty Years, Haystack, Gelt, Backend Capital; individual investors include George Church, Jeff Dean, Hemant Taneja, Laura Deming, Alec Nielsen - **Growth Signals**: 140% YoY headcount growth (from ~11 to 26 employees); 300+ biopharma and academic teams served; 40+ solution providers onboarded; recent publication of multiple benchmark papers (2025–2026) ## Competitive Advantages - **First-mover in AI agents for biology**: Combines frontier LLMs with rigorous, verifiable benchmarks tailored to biological data (spatial, single-cell, epigenomics, pharmacology). - **Open benchmarks & reproducibility**: All benchmarks (e.g., scBench-Long) are published openly, building trust and attracting top talent. - **White-labeling for solution providers**: Allows kit and instrument vendors to offer AI-powered data analysis under their own brand, creating a network effect. - **Tight integration with real lab workflows**: Supports common file formats and interfaces with existing pipelines, reducing friction for scientists. ## Strategic Focus - Continue research and deployment of AI agents for biology, with emphasis on long-horizon tasks and messy real-world data. - Expand the agent.bio sandbox to more solution providers and biopharma customers. - Publish additional benchmarks (spatial, preclinical) to establish Latch as the standard evaluator of AI in biology. - Grow engineering and bioinformatics teams to accelerate platform development. ## Why Work Here - **Engineering culture**: Small, high-autonomy team where engineers own features end-to-end and see their code impact thousands of scientists the same day. Reading groups on category theory, immunology, and more. - **Remote/hybrid policy**: Not explicitly stated, but headquarters in San Francisco; office parking subsidized. Likely in-office with flexibility. - **Notable perks**: Unlimited PTO, 100%-subsidized platinum health plan (Cigna) + 75% for dependents, dental/vision, 401(k), ambitious equity, 12+ meals weekly, annual tech stipend, signing bonus, O-1 visa sponsorship, professional development. - **Team size**: ~26 employees, with 65% in technical roles (engineering, bioinformatics, research). Flat structure with direct access to founders. - **Growth trajectory**: Rapid headcount growth and expanding customer base offer career acceleration opportunities. ## Sources 1. [latch.bio](https://latch.bio/) 2. [latch.bio/about](https://latch.bio/about) 3. [linkedin.com/company/latchbio](https://www.linkedin.com/company/latchbio) 4. [cbinsights.com/company/latch-bio](https://www.cbinsights.com/company/latch-bio) 5. [jobs.ashbyhq.com/latchbio](https://jobs.ashbyhq.com/latchbio) ## Other roles at LatchBio - [AI Biologist - Pathogen Countermeasures](https://feeny.ai/job/ai-biologist-pathogen-countermeasures-latchbio-san-francisco-4eshjtj7tm0v) — San Francisco, CA - [AI Biologist - Immunology](https://feeny.ai/job/ai-biologist-immunology-latchbio-san-francisco-pg159yb4b827) — San Francisco, CA - [AI Neuroscientist](https://feeny.ai/job/ai-neuroscientist-latchbio-san-francisco-9zp5zbsy4dty) — San Francisco, CA - [AI Biologist - Proteomics](https://feeny.ai/job/ai-biologist-proteomics-latchbio-san-francisco-ne0e1rcc4hzn) — San Francisco, CA - [AI Biologist - Structural Biology](https://feeny.ai/job/ai-biologist-structural-biology-latchbio-san-francisco-8046ck84xw5g) — San Francisco, CA - [AI Biologist - Peptide Discovery](https://feeny.ai/job/ai-biologist-peptide-discovery-latchbio-san-francisco-bwsq5fqxykx6) — San Francisco, CA - [AI Biologist - Microscopy](https://feeny.ai/job/ai-biologist-microscopy-latchbio-san-francisco-9jjczg715v57) — San Francisco, CA - [AI Biologist - Metagenomics](https://feeny.ai/job/ai-biologist-metagenomics-latchbio-san-francisco-gwgartjr88ym) — San Francisco, CA - [AI Biologist - Drug Development](https://feeny.ai/job/ai-biologist-drug-development-latchbio-san-francisco-f1se0ww7wnzt) — San Francisco, CA - [AI Biologist - Biologics Development](https://feeny.ai/job/ai-biologist-biologics-development-latchbio-san-francisco-35ags5d0ggjd) — San Francisco, CA