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Computational Biologist (Genomics & Variant Interpretation)

  • Computational Biologist (Genomics & Variant Interpretation) job type Posted on: Nov 06, 2026
  • Computational Biologist (Genomics & Variant Interpretation) experience level Lifecode
  • Computational Biologist (Genomics & Variant Interpretation) employment type New York, New York
  • Computational Biologist (Genomics & Variant Interpretation) salary Salary: $100,000 per year
  • Computational Biologist (Genomics & Variant Interpretation) employment type Onsite
  • Computational Biologist (Genomics & Variant Interpretation) salary Full-time

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Job Title :

Computational Biologist (Genomics & Variant Interpretation)

Job Type :

Full-Time

Job Location :

New York New York United States

Remote :

No

Jobcon Logo Job Description :

About LifecodeLifecode 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 roleYou'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 doDesign and own our secondary/tertiary analysis pipeline: alignment, variant calling, QC, annotationBuild the variant interpretation layer — curating evidence from ClinVar, gnomAD, GWAS Catalog, PharmGKB and similar sources into wellness and trait insightsDevelop and validate polygenic risk scores and trait-prediction modelsEvaluate and deploy modern variant effect predictorsWork with our product/engineering lead to ship insights into the customer-facing productWhat we're looking forPhD or MS in computational biology, bioinformatics, human genetics, or a closely related fieldHands-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 stratificationAbility to read a paper, judge the evidence, and decide whether it belongs in a consumer productBias toward shipping. You've worked somewhere small or you want to.Why joinFounders' previous companies have driven over $30M+ in revenue and 5B+ views on social mediaThis 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

Jobcon Logo Position Details

Posted:

Nov 06, 2026

Reference Number:

10440_4466876702

Employment:

Full-time

Salary:

$100,000 per year

City:

New York

Job Origin:

APPCAST_CPC

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About LifecodeLifecode 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 roleYou'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 doDesign and own our secondary/tertiary analysis pipeline: alignment, variant calling, QC, annotationBuild the variant interpretation layer — curating evidence from ClinVar, gnomAD, GWAS Catalog, PharmGKB and similar sources into wellness and trait insightsDevelop and validate polygenic risk scores and trait-prediction modelsEvaluate and deploy modern variant effect predictorsWork with our product/engineering lead to ship insights into the customer-facing productWhat we're looking forPhD or MS in computational biology, bioinformatics, human genetics, or a closely related fieldHands-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 stratificationAbility to read a paper, judge the evidence, and decide whether it belongs in a consumer productBias toward shipping. You've worked somewhere small or you want to.Why joinFounders' previous companies have driven over $30M+ in revenue and 5B+ views on social mediaThis 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

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