5 дней назад
Postdoctoral Research Fellow - Biostatistics/Machine Learning (AI)
72 000 - 76 385$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Postdoctoral Research Fellow - Biostatistics/Machine Learning (AI) (childhood cancer research): Applying modern AI techniques to predict clinical outcomes and provide treatment recommendations for children with cancer using large genomic datasets with an accent on biostatistics, machine learning, and epigenomics. Focus on developing clinical prediction models, analyzing data from thousands of patients, and collaborating on computational and translational cancer research.
Location: Boston, Massachusetts, United States; 100% onsite
Salary: $72,000–$76,385 per year
Company
conducts cancer research, develops treatments, provides patient care, and collaborates with Harvard Medical School-affiliated hospitals.
What you will do
- Apply modern AI and machine learning methods to predict clinical outcomes for children with cancer.
- Develop treatment recommendation approaches using large biomedical and genomic datasets.
- Analyze genomic data derived from thousands of patients.
- Study childhood brain tumors and leukemias through computational and experimental research.
- Collaborate with experts in childhood brain tumor research and epigenomics.
Requirements
- PhD in Computational Biology, Biostatistics, Computer Science, or a related discipline.
- Strong interest in working with large biomedical and genomic datasets.
- Experience developing or applying modern AI approaches.
- Ability to work collaboratively with scientists from other disciplines.
- Strong oral and written communication skills and an outstanding academic track record.
- Passion for cancer research, creativity, and independent thinking.
Culture & Benefits
- Full-time postdoctoral fellowship with 100% onsite work in Boston.
- Opportunity to advance scientific skills through computational and translational cancer research.
- Collaboration with experts and partner institutions in pediatric oncology and epigenomics.
- Inclusive, diverse, and equitable research and patient-care environment.
Hiring process
- Submit an application with a cover letter and CV.
- Letters of support will be requested at a later stage.
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