Bioinformatics Engineer — Spatial AI
LatchBio
Location
San Francisco
Employment Type
Full time
Location Type
On-site
Department
Bioinformatics
Bioinformatics Engineer — Spatial AI
At LatchBio, our AI agents help 4,000+ scientists analyze and interpret data from the next generation of spatial and multi-omic tools in biotech.
We are seeking bioinformatics engineers with computational and experimental expertise in spatial biology to help pioneer a new category of agentic analysis tools.
What you'll do
Own end-to-end spatial transcriptomics analyses across multiple projects: raw platform outputs → QC and failure diagnosis → cell segmentation and assignment → cell typing → DE/enrichment → spatial inference → defended biological claim.
Build reproducible workflows and produce clear decision traces: what was filtered, why, what changed the conclusion, what would falsify the claim.
Perform spatial reasoning beyond standard clustering: neighborhood and adjacency enrichment, spatial gradients and niches, spatial DE, and spatial autocorrelation-aware analyses.
Debug platform and data issues with precision: turn messy results into crisp hypotheses, sanity checks, and a stepwise debugging plan.
Requirements (must-have)
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Experience with end-to-end data analysis for one or more of the following spatial technologies: Seeker or Trekker (Slide-seq), MERFISH, DBiT-seq, Xenium, Visium, Stereo-seq, GeoMx, CosMx, or other similar assays
Analyzed 3+ datasets from raw data to end insight for either publications or industry experiments with real world consequences
Working understanding of kit specific quality control thresholds and intuition for numerical examples of positive or negative results (eg. 100K cells from 10X Chromium means something is wrong)
Familiarity with the landscape of computational biology tools for spatial specific tasks (eg. cell segmentation, cell typing, ligand-receptor analysis)
Desired experience (nice-to-have)
Published research that relied on modern spatial biology techniques.
Engineered tools or packages in the spatial biology domain.
Experience generating training data for AI agents or foundation models.
Ideal candidate
You are a scientifically fluent engineer bridging experimentation and computation. You're comfortable being wrong, updating beliefs with evidence, and writing down decisions so others can reproduce and critique your work. You communicate clearly and take ownership of end-to-end solutions.
Compensation & benefits
$130k–$185k/yr (performance-based)
Equity
Unlimited PTO
Waterfront office in China Basin
Free lunch and dinner
100% premium covered on Blue Shield's platinum health plan ($0 premium, $0 deductible)
401(k) plan options
Company-sponsored professional development
Work visa sponsorship
Team-wide science reading groups
Full-time preferred, part-time available.
In-person in San Francisco preferred, remote options available.
About the team
We work on serious problems at the most important intersection in history: biology and AI. We are building a team of world-class people, and are all eager to dedicate a substantial part of our life to solving these problems.
If we succeed we will hugely accelerate scientific progress and aid the creation of therapies for cancer, solutions to global warming, and cures for aging.
Who you'll work with
How to apply
Apply on our Ashby posting here.
Hiring process
Our process moves quickly, typically completed within one week.
Round 0: Apply with a resume and cover letter
Round 1: Introduction — Saul (Technical Recruiter)
Round 2: Culture — Jordan (Chief of Staff) or Kyle (COO)
Round 3: Take-home — Zhen and Harihara (Bioinformatics)
Round 4: Technical — Kenny (CTO)
Offer
Learn more
Explore our products, read our papers, and engage with our team.
Agent.bio — The AI agent for biology
Benchmarks.bio — The benchmarks for biology agents
Console.latch.bio — The harness for agentic data analysis