Pod Lead - Life Science
Core
Lead a pod of technical trainers to develop realistic, terminal-based scientific and engineering tasks for frontier AI training and evaluation in life sciences.
Role type
Senior IC Pod Lead (Computational Life Sciences)
Builds
Realistic, reproducible scientific workflows and evaluation tasks for AI agents
Domain
Life Sciences + AI Training Data
Deliverable
production ML models
Required skills
Computational life sciences expertise, scientific programming (Python), team leadership, task validation, reproducibility verification, biosafety screening
Preferred skills
Bioinformatics, computational genomics, systems biology, biochemistry, structural biology, medical imaging, HPC environments, benchmark design
Technologies
Python, samtools, bcftools, GATK, BWA, STAR, Salmon, DESeq2, edgeR, Seurat, Scanpy, Biopython, Bioconductor, Nextflow, Snakemake, RDKit, OpenMM, GROMACS, AutoDock Vina, PyMOL, pydicom, nibabel, SimpleITK, MONAI, FSL, lifelines, statsmodels, FHIR, Docker, Conda, Git, CI systems
Responsibilities
Review and validate trainer tasks for scientific accuracy and reproducibility; mentor and allocate work for a pod of 5–10 trainers; design challenging agentic scientific workflows; ensure data is synthetic, public, and de-identified; screen for biosafety and dual-use concerns; create reproducible expert solutions and grading criteria.
Seniority
Senior, hands-on IC
