Member of Technical Staff, Epigenetics / Therapeutics / Single-Cell Hard requirement: 3-5+ years of hands-on primary analysis experience in epigenetics, therapeutics R&D, or single-cell genomics. We are hiring deep domain experts, not generalists.

LatchBio is building AI agents that do real biology. Agents that can take raw sequencing data, run the right analysis, recognize when something is wrong, and return a defensible scientific claim. The hard part isn't model training. It's defining what good analysis actually looks like across the assays and decisions that matter in real R&D, and building benchmarks that can tell when an agent is doing it right.

In this role, you will:

• Translate the tacit workflow knowledge in your head into structured, reproducible analysis patterns with clear ground truth and known failure modes
• Review agent outputs and engineer-built pipelines. Catch what looks right but isn't. Decide what an acceptable analysis looks like
• Generate reasoning traces, contribute training data, and iterate with the model team on where agents fall down
• Work directly with our CTO, head of product, and a small bioinformatics team. You will not be siloed. You will not be writing slides.

Three tracks. Apply to the track where you have the most depth and note your primary track in your application. If you span two domains, flag the secondary.

Epigenetics track:

• Personal end-to-end analysis of ATAC-seq, ChIP-seq, CUT&RUN/CUT&Tag, scATAC-seq, multiome, or Hi-C
• You can explain why a peak opens, not just that it did
• Fluent in tools like MACS, ArchR, Signac, ChromVAR, deepTools

Therapeutics track:

• Personal end-to-end analysis of preclinical drug discovery data: HTS plates, dose-response curves, CRISPR screens, PRISM/DepMap/GDSC response matrices, ADMET panels, PK/DMPK
• You know the difference between a real selective hit and broad cytotoxicity, and between a clean IC50 and a curve that shouldn't be reported
• Fluent in tools like scipy curve fitting, MAGeCK, RDKit

Single-cell track:

• Personal end-to-end analysis of scRNA, snRNA, CITE-seq, spatial transcriptomics (Xenium, Visium, MERFISH, Stereo-seq), or Perturb-seq
• You have intuition for kit-specific QC thresholds (you know 100K cells from a 10X run means something is wrong)
• Fluent in tools like Scanpy, Seurat, Cell Ranger, scVI, Squidpy

You must be able to:

• Run a full analysis end-to-end in your domain, from raw platform output (FastQ, plate readouts, count matrices, response matrices, etc.) to a defended biological or therapeutic claim. No handoffs. No "I'd ask the bioinformatician for that part."
• Diagnose when an analysis is wrong. Given someone else's notebook or report, you can spot the bad QC threshold, the missing counterscreen, the lineage confound, the over-fit curve, the contaminating doublet. You know what artifacts look like in your domain because you've debugged them.
• Justify every analytical choice. Why this normalization, why this threshold, why this statistical test, why this filter. You can write the decision down, defend it, and say what would falsify your conclusion.
• Write reproducible code. Python or R. Comfortable in pandas/numpy/scipy and the standard tools of your domain. Your analyses should run twice and give the same answer.

You must have:

• 3-5+ years of hands-on primary analysis experience in one of the three tracks
• Analyzed 3+ datasets in your domain with real consequences (publication, product decision, clinical or regulatory submission)
• Built or contributed to open-source tools, internal platforms, or production pipelines used by people other than you

What we don't want:

• People who supervised analyses but didn't do them
• Wet-lab scientists for whom the assay was a means to an end
• People who can describe a workflow but can't write the grading script for it

Compensation and logistics:

• $200k+ base, increasing with track, depth, and experience
• Significant equity
• 100% premium covered Blue Shield platinum health plan ($0/$0)
• Free lunch and dinner
• Unlimited PTO
• Waterfront office in China Basin, San Francisco
• Five days per week in person, non-negotiable
• Visa sponsorship available

Hiring process, typically one week start to offer:

• Apply with resume and a few sentences on track and why
• Intro call with Saul (Technical Recruiter) or Kyle (COO)
• Take-home designed by track
• Technical with Kenny (CTO)
• Offer

If you've ever wanted an AI that understands the data you've spent your career analyzing, come build it.