machine learningoncologygenomicstranscriptomicscomputational biologyreal world evidencenext generation sequencingmulti omicstime to event analysis
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$100к-150к/год
$110к$130кмедиана$160к
По похожим ролям (49) ~ $130к/год
На СНГ рынке: $3.6к/мес ($2.5к - $3.6к)
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У роли чёткий исследовательский фокус в прецизионной медицине и доступ к крупным клиническим и мультиомным данным, хотя в быстром темпе работы приоритеты могут часто меняться.
Смена приоритетов
ИИ в медицине
Научный вклад
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Computational Biologist II (AI) (Multi-omic Genomics and Real-World Evidence): Leading research projects that analyze large-scale molecular and clinical datasets to generate oncology insights for research collaborators with an accent on multi-omic analysis, genomics, and real-world clinical outcomes. Focus on deriving time-to-event endpoints, translating scientific questions into analysis plans, and communicating findings to multidisciplinary and external research audiences.
Location: New York City, Boston, or Chicago, United States
Salary: $100,000–$150,000 for NYC/SF; $90,000–$135,000 for Chicago. Ranges may vary by location.
Company
hirify.global develops a proprietary precision-medicine platform connecting real-world evidence with actionable insights for clinical care and research.
What you will do
Lead and contribute to R&D and Medical Affairs research projects using large-scale real-world clinical and multi-omic molecular data.
Work with the Medical Sciences Team and oncology research leaders to translate scientific questions into analytical insights.
Present research insights to external partners and communicate findings to audiences with varying technical and genomics expertise.
Track advances in real-world studies, next-generation DNA/RNA sequencing, and oncology guidelines.
Contribute to publications and podium activities.
Requirements
PhD in a quantitative NGS-related discipline such as Computational Biology or Genetics, plus 1+ years of industry or academic experience; alternatively, a Computational Biology PhD with a strong record of multi-omic, high-throughput sequencing analysis.
Experience deriving oncology-specific clinical insights from genomic and/or real-world data.
Experience deriving real-world endpoints using time-to-event methodologies in a retrospective database.
Excellent project management skills and experience collaborating with multidisciplinary scientists to define and execute analysis plans using genomics and transcriptomics datasets.
Ability to work in a fast-paced environment and shift priorities seamlessly.
Collaborative mindset, eagerness to learn, and steadfast commitment to integrity.
Nice to have
Experience integrating molecular data with real-world evidence and longitudinal clinical outcomes.
Hands-on experience applying machine learning techniques or foundation models to complex biomedical or multi-omic datasets.
Culture & Benefits
Full-time position supporting external research collaborations and precision-medicine initiatives.
Benefits may include incentive compensation, restricted stock units, medical benefits, and other benefits depending on the position.
Equal opportunity employment without discrimination based on protected characteristics.
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