Harmonize your Wet and Dry Lab. Backed by Lux.
About the role
Our work in Cancer Biology means measuring whether an agent can take a tumor case from raw molecular data to a real clinical decision. You'll identify real cancer-biology datasets and turn them into rigorous, deterministically-graded tasks.
What they're looking for
- Proficiency in Python and/or R: VCF/MAF parsing, single-cell analysis (Scanpy/Seurat), gene-set scoring (GSEA/ssGSEA), immune deconvolution (CIBERSORTx), subclonal reconstruction (PyClone), statistical analysis
- Understanding of cancer-genomics standards: AMP/ASCO/CAP and ACMG/AMP variant tiers, ESCAT and OncoKB actionability levels, PAM50 and Consensus Molecular Subtypes, IFN-γ/T-cell-inflamed signature, consensus Immunoscore
- Recognize experimental variability, and assay limitations, distinguish real biological signal from pipeline or annotation artifact
- Strong written communication on technical decisions, uncertainty, and alternative interpretations
More about this role
Latch builds rigorous, scientific benchmarks ( 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.
Our work in Cancer Biology means measuring whether an agent can take a tumor case from raw molecular data to a real clinical decision. You'll identify real cancer-biology datasets and turn them into rigorous, deterministically-graded tasks.
Our benchmarks are agentic and cross-domain. Each task hands an agent the artifacts a cancer researcher would actually have and asks for a concrete conclusion. Your job is to establish defensible reference analyses and scoring criteria across conclusion types, the benchmark measures that span basic cancer biology to clinical outcomes. You'll anticipate where agents take plausible but wrong turns and test whether they can handle experimental variability, incomplete data, conflicting evidence, and mechanism-driven tradeoffs.
Our team emphasizes cross-domain integration and long-horizon reasoning.
1+ years personally working in basic, translational, or clinical cancer biology. Experience with...
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