8 дней назад
Postdoctoral Research Fellow - Van Allen Lab (AI)
72 000 - 76 385$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Postdoctoral Research Fellow - Van Allen Lab (AI) (Machine Learning/Cancer Genomics): Developing AI algorithms that integrate molecular profiles, pathology images, clinical notes, and outcomes data to support precision cancer medicine with an accent on deep learning, predictive modeling, and high-throughput bioinformatics pipelines. Focus on analyzing large-scale sequencing datasets, integrating clinical data, and building tools for data preparation, visualization, distribution, and collaborative research.
Location: Boston, Massachusetts, United States; onsite with occasional remote work
Salary: $72,000–$76,385 per year
Company
is a cancer research and patient care institution focused on advancing oncology research, treatment, and public health.
What you will do
- Develop AI and deep learning algorithms integrating molecular, pathology/image, and clinical data.
- Analyze clinical sequencing data and large-scale datasets to identify genomic drivers, biomarkers, and treatment-response patterns.
- Build and maintain high-throughput pipelines for integrating existing tools, databases, and clinical outcomes data.
- Create tools for manipulating, preparing, displaying, and transferring processed data to collaborators and repositories.
- Maintain, support, and document shared tools, codebases, and datasets.
- Collaborate with researchers across Dana-Farber, the Broad Institute, and other institutions, including co-mentoring students.
Requirements
- Ph.D. in bioinformatics, genetics, statistics, mathematics, physics, computer science, or comparable research experience.
- Significant experience with machine learning, programming, and computational biology applications.
- Strong background in statistics and biology, including cancer biology.
- Experience with R and/or Python, large dataset management and curation, and cloud computing.
- Strong oral and written communication, initiative, multitasking, and collaborative research skills.
- Ability to work independently, seek mentorship, and mentor other community members.
Culture & Benefits
- Interdisciplinary and highly collaborative research environment.
- Opportunities to work on clinically oriented cancer sequencing and precision oncology projects.
- Opportunities to develop multidisciplinary, project-oriented teams.
- Flexible growth opportunities spanning software design, bioinformatics, and predictive modeling.
- Inclusive and equitable workplace focused on cancer research, patient care, and public health.
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