Genetics Research Biologist

We sequence your entire genome and turn it into personal wellness insights you can actually use. We're a small founding team and we're building the data and interpretation engine that makes 3 billion base pairs meaningful to a regular person.

You'll be our first dedicated genomics data hire and own how we go from raw WGS output to interpreted, trustworthy insights. This is a build-from-scratch role: the pipelines, the variant interpretation logic, the evidence standards, and the models we train on our data will largely be your call.

Design and own our secondary/tertiary analysis pipeline: alignment, variant calling, QC, annotation
Develop and validate polygenic risk scores and trait-prediction models
Work with our product/engineering lead to ship insights into the customer-facing product

PhD or MS in computational biology, bioinformatics, human genetics, or a closely related field
Hands-on experience with human genetic data (VCF wrangling, Python interpretation libraries) and inference with SOTA in-silico variant effect prediction models (AlphaGenome, Enformer, SpliceAI, etc.)
Strong Python and SQL;
Working knowledge of statistical genetics — PRS construction, GWAS interpretation, population stratification
Bias toward shipping. This is not a traditional, slow-moving life-sciences company, we will taking frontier research and quickly delivering it to the masses

100K - $130K + competitive equity