--- title: 'Bioengineer, Lead Scientist at LatchBio' canonical: 'https://feeny.ai/job/bioengineer-lead-scientist-latchbio-san-francisco-ncn4k93pda7h' type: 'job' last_seen: '2026-10-20' --- # Bioengineer, Lead Scientist at LatchBio - **Company:** LatchBio - **Location:** San Francisco, CA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-10-15 - **Last confirmed live:** 2026-10-20 - **Apply:** https://jobs.ashbyhq.com/latchbio/844ba272-a39a-47ed-9ef6-5946fe2db005 ## Job description Bioengineer, Lead Scientist Role Overview ## Overview Mission: Measure and improve AI model performance in biology by engineering benchmarks and leading a team to deliver for frontier model labs. As a lead scientist, you will sit at the heart of LatchBio's benchmarking team and report directly to our CTO. You will work closely with the therapeutics and drug development team, product engineering, and scientific leadership to build and scale benchmark and task production. ## Responsibilities - Benchmark co-design: Map the "space" of your domain knowledge into a taxonomy of benchmarks, and co-author and release them for frontier labs to monitor and improve model performance. See https://benchmarks.bio/ for examples. - Hands-on task design: Design the tasks and graders that compose benchmarks yourself; set task standards and rubric quality for the team. Essentially, design the standards for what great is. - Production and quality: Once the team is in place, ensure the program meets volume and timelines agreed on with our partners. Volume is set per partnership and depends on its scope. The type of delivery may change by contract, eg. from eval creation to rubrics or preference labeling. - Quality Review: Review the team's work before delivery. Beyond automated platform checks, this means you need strong judgement of scientific value, clear and professional writing, tasks that fit the contract's scope, and decision-making on whether a task teaches a real, transferable skill. You will also design and decide on quality and review standards for different types of work. - Team mentorship & leadership: Lead a team of up to 7 scientists. Coordinate onboarding, 1:1s, feedback, and professional development. Be a reliable and communicative point of contact when they are blocked, technically or professionally. Advocate for team needs to leadership. - Operations support: Be a force multiplier: Work closely with the engineering team to optimize compute and platform usage so individual scientists can focus on the science. - Tools and product engineering: With the engineering team, build tools that automate tedious parts of task creation, and act as a core user who gives feedback on new platform tools. - Strategy: Lead domain initiatives such as data acquisition and roadmap definition, and help hire and close strong candidates. Communicate strategic initiatives directly with leadership to build consensus and execute across the organization. First 1-3 months Your rough milestones. Much of this work runs in parallel, so your timing will vary. Month 1 Deliverable: Meet the team and onboard to internal tooling. Design the structure of your first benchmark, in line with CTO and MTS-level thinking, and start drafting the first tasks. Support: Scientific and strategy leads (MTS) Month 2 Deliverable: Design and launch a benchmark. Begin to manage and onboard first L1 hires on the team. Support: COO and recruiting leads Month 3 Deliverable: With the MTS in place, engage a frontier lab partner to scale up work and start hiring to build out the function. Support: Head of Product and production leads Workload and hours This is a normal full-time role: about 40 hours per week. Nights and weekends are not expected. When crunches have happened (for example a first major contract), we adjusted quotas. The role is hybrid. Daily onsite presence is not required (though welcomed and encouraged), and some L2s are fully remote. ## Your role vs. the MTS role Both roles work on and co-author gene therapy benchmarks. The difference is ownership: the MTS owns the entire business vertical - hiring, production, deliverables, timelines, and customer relationships - while you own hands-on management, scientific excellence and judgement, and tooling people rely on. Benchmark role: You co-author. The MTS leads or co-authors. - Customer contact: You support. The MTS owns it, on tight deadlines. - Accountability: You own specific projects and benchmarks. The MTS owns the end-to-end business vertical. - Team: You onboard and mentor the team, and refer and help close hires. The MTS is directly responsible to hire, build the team, lead, and provide vision and strategy. - Onsite: You do not need to be onsite daily, and remote is possible. The MTS is heavily onsite. - After-hours: Not expected for you. For the MTS, late nights are common, for instance when a delivery is on the line. Path to MTS: there are no fixed promotion criteria, but we share an understanding that promotion to MTS is possible, based on performance aligning with the ability to execute on the responsibilities above consistently over time. Ramp time and onboarding Ramp to full speed takes about 3 months. Onboarding happens through the month 1 milestones above: meeting the team and getting set up on internal tooling, then learning by doing on live task generation work with team leadership. Interview process 1: Introduction (30m) - logistics - Recruiting 2: Take-home evaluation project (~2 hours) - MTS 3: Technical interview / live engineering session (1 hour) - MTS 4: Who interview (1 hour) - your experience - Founder 5: Culture interview - COO 6: Offer Comp OTE $250k-$300k + Equity ## Benefits - Unlimited PTO (truly) - Work Visa sponsorship - Flexible Spending Account - Team-wide science reading groups - 100% covered Health, dental, vision - Relocation Assistance (if applicable) - Lunch and dinner provided every workday - Waterfront office in China Basin, San Francisco - Company-sponsored professional development - Flexible working hours, so long as you maintain an onsite presence - Best office dog: Nix ## 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. 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