Computational Biologist (Genomics & Variant Interpretation)

The role: 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.

What you'll do: Design and own our secondary/tertiary analysis pipeline: alignment, variant calling, QC, annotation Build the variant interpretation layer — curating evidence from Clin Var, gnomAD, GWAS Catalog, PharmGKB and similar sources into wellness and trait insights Develop and validate polygenic risk scores and trait-prediction models Evaluate and deploy modern variant effect predictors Work with our product/engineering lead to ship insights into the customer-facing product

What we're looking for: 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 (Alpha Genome, Enformer, SpliceAI, etc.)Strong Python and SQL; Working knowledge of statistical genetics — PRS construction, GWAS interpretation, population stratification Ability to read a paper, judge the evidence, and decide whether it belongs in a consumer product Bias toward shipping. You've worked somewhere small or you want to. Why join Founders' previous companies have driven over $30M+ in revenue and 5B+ views on social media This is not a traditional, slow-moving life-sciences company, we will taking frontier research and quickly delivering it to the masses Compensation$100K - $130K + competitive equity