4 дня назад
Postdoctoral Research Fellow - Sethi Lab (Computational Cancer Biology)
72 000 - 76 385$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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