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20 часов назад

Manager, Computational Biology (Oncology)

151 800 - 220 600$
Формат работы
hybrid
Тип работы
fulltime
Английский
c1
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
Manager, Computational Biology (Oncology): Leading a team of computational biologists to identify and advance oncology therapeutics using Recursion’s platform with an accent on data integration and target discovery. Focus on balancing strategic leadership with hands-on analysis of high-dimensional biological data to drive drug discovery programs.

Location: Must be based in or able to work from the office in Salt Lake City, Utah or New York City, New York (Hybrid: 50% in-office required)

Salary: $151,800–$220,600 per year (depending on location)

Company

hirify.global is a clinical-stage TechBio company decoding biology to radically improve lives through an AI-native, end-to-end drug discovery platform.

What you will do

  • Lead and mentor a team of computational biologists and data scientists to foster scientific rigor and professional growth.
  • Design and execute analyses for target nomination and validation to identify novel vulnerabilities in cancer biology.
  • Develop biomarker strategies and patient-stratification hypotheses for oncology programs.
  • Collaborate with platform and engineering teams to scale innovative analysis methods across the organization.
  • Maintain a 50% individual contribution load, performing complex data integration to solve critical oncology portfolio questions.
  • Present data analysis to internal and external stakeholders to drive investment and program decisions.

Requirements

  • PhD in a quantitative field with 5+ years of experience in biotech/pharma OR MS with 7+ years of experience.
  • Proven track record of managing and developing direct reports in a technical environment.
  • Deep expertise in oncology, including biomarker discovery and patient population stratification.
  • Advanced proficiency in Python or R for high-dimensional biological data analysis.
  • Experience with data integration of at least two 'omics modalities (phenomics, transcriptomics, proteomics, genomics).
  • Must be able to work in the office at least 50% of the time in Salt Lake City or New York City.

Nice to have

  • Familiarity with large-scale oncology datasets like TCGA, CCLE, DepMap, or Real-World Data.
  • Experience designing high-throughput screens or CRISPR/small-molecule perturbations.
  • Exposure to IND-enabling studies or clinical trial biomarker analysis.

Culture & Benefits

  • Comprehensive benefits package including health, dental, and vision coverage.
  • Equity compensation and annual bonus eligibility.
  • Collaborative, cross-functional environment focused on accelerating drug discovery.
  • Commitment to bold experimentation, integrity, and rapid adaptation.

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