Назад
Company hidden
7 дней назад

Lead Bioinformatics & Machine Learning Scientist (Epigenomics)

146 000 - 180 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Lead Bioinformatics & Machine Learning Scientist (Epigenomics) (machine learning, cancer genomics, cfDNA methylation): Developing machine learning and statistical methods for early cancer detection from cell-free DNA methylation and sequencing data with an accent on classifier development, feature engineering, model interpretability, and reproducibility. Focus on designing robust computational methods, validating high-throughput sequencing analyses, and providing technical leadership and mentorship.

Location: US Remote; United States

Salary: $146,000–$180,000 USD annually

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 technical workstreams from problem definition through delivery of final classifiers for downstream validation.
  • Design, implement, and validate machine learning and statistical methods for cancer diagnostics.
  • Build feature engineering and extraction pipelines for cfDNA methylation and sequencing data.
  • Establish practices for model interpretability, uncertainty estimation, reproducibility, and data quality control.
  • Collaborate with molecular biologists on experimental design and lead code and design reviews.
  • Mentor scientists and provide technical leadership within a collaborative research team.

Requirements

  • PhD in Bioinformatics, Computer Science, Machine Learning, Statistics, or a related quantitative field, with 4 to 8+ years of post-PhD experience.
  • Hands-on experience in cancer genomics or epigenomics.
  • Strong quantitative reasoning, statistical analysis, and applied machine learning skills.
  • Proven experience developing computational methods for high-throughput sequencing data analysis.
  • Strong programming skills with Python and its scientific library stack, including pandas, NumPy, and scikit-learn.
  • Experience with Linux command-line tools, shell scripting, Git, workflow managers such as Nextflow or Snakemake, and cloud or HPC compute environments.
  • Ability to conduct hypothesis-driven research, visualize findings, and communicate results orally and in writing.
  • Experience mentoring or technically leading other scientists.

Nice to have

  • Experience with cell-free DNA or methylation sequencing data.
  • Experience with deep learning frameworks.

Culture & Benefits

  • Collaborative environment focused on innovation, scientific excellence, and inclusive teamwork.
  • Comprehensive medical, dental, vision, life, and disability plans 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.

Будьте осторожны

Если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого. Это мошенники. Обязательно жмите «Пожаловаться» или пишите в поддержку. Подробнее в гайде →