Computational Biologist (Genomics & Variant Interpretation)

About Lifecode

Lifecode is a direct-to-consumer whole genome sequencing company. 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.

Find out more about the daily tasks, overall responsibilities, and required experience for this opportunity by scrolling down now.

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 ClinVar, 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 (AlphaGenome, Enformer, SpliceAI, etc.)
• Strong Python and SQL;
• Working knowledge of statistical genetics — PRS construction, GWAS interpretation, population stratification xhyhwjd
• 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