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AI Biomarker Discovery Researcher

Wyatt Tanaka

Full-time · Job · New_York

About the role

Finding a biomarker for early disease detection is a needle-in-a-haystack problem at genomic scale. A typical discovery project involves 500GB of multi-omics data, 50,000 candidate features, and the need to distinguish genuine biological signal from experimental noise. Our platform automates the pipeline from raw data to ranked biomarker candidates — but the ML methodology powering the ranking is where we need reinforcement. You'll design and implement the statistical learning models that score candidate biomarkers for predictive value, reproducibility, and pathway coherence. That means working with sparse, high-dimensional data where standard ML assumptions break down, and developing validation strategies that will satisfy FDA reviewers who are increasingly scrutinizing AI-derived findings. We have active collaborations with four top-10 pharma companies and two academic medical centers. Your models will directly inform which candidates advance to clinical validation. We publish and patent; you'll own your contributions.

Responsibilities

  • Design statistical learning models for biomarker candidate scoring and ranking
  • Develop validation frameworks suitable for FDA regulatory scrutiny
  • Build feature selection pipelines for high-dimensional, sparse omics data
  • Implement reproducibility testing across independent cohorts
  • Collaborate with pharma partners on specific disease area requirements
  • Lead publication and patent documentation for novel methods

Requirements

  • 6+ years in computational biology, bioinformatics, or ML applied to life sciences
  • Deep expertise in high-dimensional statistics and multi-omics data analysis
  • Strong Python skills with experience in PyTorch or scikit-learn
  • Understanding of clinical validation requirements and regulatory considerations
  • Publication track record in ML, bioinformatics, or computational biology

Benefits

  • Fully remote — US time zones
  • Top-of-market salary plus equity
  • Health, dental, and vision
  • Unlimited PTO with 4-week minimum encouraged
  • Patent bonus program

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Categories

AI & Machine Learning Engineers data science & analytics

Skills

python pytorch scikit-learn pandas statistics

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Job Type

Full-time

Level

Senior

Language

English

Salary Range

$160k – $200k / year

AI Expertise

AI & Machine Learning Engineers data science & analytics

Skills

python pytorch scikit-learn pandas statistics aws

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