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8 дней назад

Staff Machine Learning and Bioinformatics Scientist (Multi-Cancer Early Detection)

163 200 - 204 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Текст:
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TL;DR
Staff Machine Learning and Bioinformatics Scientist (Multi-Cancer Early Detection) (Machine Learning/Genomics): Developing statistical and machine learning models for cancer signal detection from large-scale, multi-modal genomic datasets with an accent on interpretability, calibration, uncertainty estimation, and clinical validation. Focus on designing novel methods, productionizing scalable ML models, analyzing biological experiments, and advancing multimodal foundation models for cancer diagnostics.

Location: US Remote

Salary: $163,200–$204,000 USD per year

Company

hirify.global develops cell-free DNA testing and personalized genetic diagnostics for oncology, women’s health, and organ health.

What you will do

  • Lead the development of statistical and machine learning methods for cancer signal detection using multi-modal genomic data.
  • Build interpretable, well-calibrated models with robust uncertainty estimation and reproducibility.
  • Prototype, test, and productionize ML models on scalable infrastructure.
  • Own technical deliverables, contribute to the research roadmap, and drive methods from prototypes through clinical validation.
  • Collaborate with molecular biologists and clinical experts on experiments and validation studies.
  • Mentor junior scientists, review code and designs, and communicate complex results to technical and non-technical audiences.

Requirements

  • PhD in Computer Science, Mathematics, Bioinformatics, or a related quantitative field, with 6–12 years of post-PhD experience.
  • Experience developing novel statistical and ML methods for complex biological data.
  • Technical leadership and innovation in complex method development projects.
  • Expertise in deep learning and multimodal foundation models.
  • Proficiency in Python and its scientific computing ecosystem.
  • Scientific rigor, strong communication skills, and a collaborative approach.

Nice to have

  • Experience with DNA methylation and other epigenomic data.
  • Experience with cell-free DNA and liquid biopsy samples.
  • Background in cancer genomics and diagnostics.
  • Hands-on experience applying multimodal foundation models to biological data.

Culture & Benefits

  • Collaborative work with statisticians, geneticists, doctors, laboratory scientists, and software engineers.
  • Medical, dental, vision, life, and disability insurance for eligible employees and dependents.
  • Free testing for employees and immediate family members, plus fertility care benefits.
  • Pregnancy and baby bonding leave, 401(k) benefits, commuter benefits, and an employee referral program.

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