AI Biologist - SpatialBench-Long

Department: Research

Location: San Francisco or Remote

Employment Type: FullTime

AI Biologist - SpatialBench-Long

As molecular data generation and frontier model intelligence grows, new approaches to data analysis are needed across the biotech industry. Latch is building intelligent, high-performance agents for biological data analysis, empowering over 5,000 scientists across 150+ R&D labs to handle data from instrument-to-insights.

Were seeking a Bioinformatics Engineer to join our Spatial team, working at the frontier of what artificial intelligence can achieve in biology.

About the Role

You design tasks that test whether AI agents can work through real spatial transcriptomics projects. Its not about whether they can run a tool, its whether they understand how decisions cascade. You pick how to align tissue images, which affects how you segment cell boundaries, which determines which unmixing method works, which shapes everything downstream. Were testing if they get that ripple effect. Youd be pulling from real published papers, building multi-stage tasks, and grading whether agents understand the why behind each choice, not just the mechanics.

Requirements

• Systems thinking across spatial workflows: You understand how image preprocessing (tissue alignment, background removal) affects segmentation quality; why nucleus-level segmentation demands different deconvolution (RCTD, Tangram, SPOTlight, STRIDE) than spot-level data; when morphological features matter for downstream inference

• Domain-specific judgment: You know the trade-offs between platforms (Visiums spots vs. MERFISHs near-cellular resolution vs. Xeniums high-plex imaging); when to deconvolve spots vs. when to segment first; how cell density and tissue morphology constrain method choice

• Tool flexibility: You learn spatial tools (Baysor, STdeconvolve, giotto, Squidpy) and image-processing pipelines as needed

• Task design: You build multi-checkpoint benchmarks where agents must handle registration failures, justify segmentation thresholds, and defend deconvolution assumptions in tissues with variable morphology

Culture @ Latch

How we work. Genuinely flexible schedules, we just ask that you communicate when youre coming in later than usual. We care most about hard work and output. Were respectfully opinionated, it will always be us against problems, not each other. Optimize for each others time and bring solutions, not just problems. Youll join a bench suited to your expertise, but we value cross-domain learning and interoperability across teams.

The office & perks. Waterfront office near Oracle Park, 2x free daily meals, unlimited snacks, company outings most months, and team offsites. Plus a vibrant team: cycling, soccer, figure skating, boxing, run clubs, reading clubs, martial arts, music, game nights.

Compensation & Logistics

• 1099 (or W8-BEN) contract, 40 hrs/week, no end date

• Fully performance-based pay: $120K–$180K, uncapped upside. 2x quota = 2x pay.

• 2-4 week paid ramp - full OTE from day one

• Remote (globally), hybrid, or onsite in SF (onsite preferred)

• Work authorization: OPT visa holders only (not STEM Extension)

• Onsite perks: 2x free meals/day, waterfront office (China Basin), monthly parking (based on availability)

• Candidates with all of the above qualifications + proven management skills will be eligible for more senior positions

   

Interview Process

Timeline: We move fast: 8–12 days from submission to offer.

1. Intro Screen - Technical Recruiter

2. Take-Home Project - HackerRank

3. Technical Interview - Member of Technical Staff

4. Culture Interview - C-Suite (If applicable)

5. Offer