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4 дня назад

Postdoctoral Research Fellow - Sethi Lab (Computational Cancer Biology)

72 000 - 76 385$
Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Postdoctoral Research Fellow - Sethi Lab (Computational Cancer Biology): Developing computational analyses of single-cell genomics, epigenomics, and spatial biology data to study gastrointestinal cancer evolution with an accent on cell-state plasticity, therapeutic resistance, and multimodal datasets. Focus on formulating research questions, integrating complex genomic data, collaborating with experimental scientists, and translating findings into manuscripts and grants.

Location: Boston, Massachusetts, United States; 100% onsite

Salary: $72,000–$76,385 per year

Company

hirify.global is a cancer research and patient-care institution affiliated with Harvard Medical School.

What you will do

  • Formulate independent research questions in computational cancer biology.
  • Develop and execute computational analyses of complex genomic datasets.
  • Study gastrointestinal cancer evolution, cell-state plasticity, and therapeutic resistance.
  • Collaborate with experimental scientists and interpret integrated biological data.
  • Present findings internally and externally and contribute to manuscripts and grant applications.
  • Mentor junior trainees.

Requirements

  • Ph.D., M.D., or M.D./Ph.D. required.
  • Background in quantitative or computational biology, bioinformatics, genomics, statistics, computer science, systems biology, or cancer biology.
  • Experience with single-cell RNA-seq or single-cell ATAC-seq.
  • Experience with epigenomic analysis, chromatin biology, spatial transcriptomics, or other spatial-omics approaches.
  • Experience with multimodal data integration or computational analysis of longitudinal or perturbational experiments.

Culture & Benefits

  • Collaborative laboratory environment with substantial existing datasets, experimental systems, and senior scientific expertise.
  • Planned overlap with experienced laboratory members for transfer of computational frameworks, biological knowledge, and experimental context.
  • Freedom to establish new research questions and approaches.
  • Inclusive, diverse, and equitable work environment.

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