Computational Biologist (Genomics & Variant Interpretation)
Lifecode · United States
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FULL-TIME
Posted Sep 16, 2026
Job Description
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.
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
• 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
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.
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
• 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
Additional Details
- Country
- US
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