AI Biologist - Cancer Biology (Applications)
New
L
LatchBiotechnology
Remote (globally), hybrid, or onsite in SF (onsite preferred)ContractMiddle
SalaryFully performance-based pay - OTE: $120K–$180K, uncapped upside.
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Job Details
- Experience
- 1+ years
- Required Skills
- PythonR
Requirements
- 1+ years of experience in basic, translational, or clinical cancer biology.
- Hands-on experience with multi-omic tumor data analysis.
- Proficiency in somatic/germline variant calling and interpretation (WES/WGS/panel; MAF/VCF).
- Experience with copy-number/structural-variant analysis and mutational signatures.
- Proficiency in bulk and single-cell RNA-seq, including cell-state annotation and subtyping.
- Proficiency in Python and/or R (Scanpy, Seurat, GSEA, CIBERSORTx, PyClone).
- Understanding of cancer-genomics standards (AMP/ASCO/CAP, ACMG/AMP, ESCAT, OncoKB).
- Ability to distinguish biological signals from pipeline or annotation artifacts.
- Strong written communication regarding technical decisions and uncertainty.
Responsibilities
- Identify real-world cancer biology datasets for benchmark development.
- Develop rigorous, deterministically-graded tasks for AI agent evaluation.
- Establish defensible reference analyses and scoring criteria for various conclusion types.
- Test AI agent performance against experimental variability and incomplete data.
- Analyze and integrate multi-omic tumor data for clinical decision benchmarking.
- Evaluate agent reasoning on mechanism-driven tradeoffs and biological data interpretation.
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