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1 день назад

Computational Biologist II (AI)

100 000 - 150 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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