Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$146к-180к/год
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Роль четко связана с исследованиями эпигеномики рака и сочетает техническое лидерство с наставничеством и актуальным инструментарием; направление ранней диагностики рака усиливает ценность работы.
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Актуальный стек
Онкологические исследования
Четкая зона ответственности
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Описание вакансии
Текст:
Hirify AI/Оригинал
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.
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