Postdoc: Biostatistics & AI for Pediatric Cancer Outcomes

Dana-Farber Cancer Institute (DFCI); Boston (MA); On-site; USD 72,000 - 76,000; Full time

Job summary

Dana-Farber Cancer Institute in Boston seeks a Postdoctoral Research Fellow in Biostatistics/Machine Learning to join the Hovestadt Lab. The role focuses on applying AI to predict clinical outcomes and to provide treatment recommendations for pediatric cancer, using large genomic datasets.

The postdoc will collaborate with scientists across disciplines, advancing translational cancer research and computational methods in a leading lab.

Qualifications

• PhD in Computational Biology, Biostatistics, Computer Science, or related field.
• Experience with large biomedical/genomic datasets.
• Experience applying modern AI approaches.
• Ability to collaborate with scientists from other disciplines.
• Excellent oral and written communication skills.
• Outstanding academic track record.

Responsibilities

• Apply modern AI techniques to predict clinical outcomes for children with cancer.
• Work with large genomic datasets from thousands of patients to enable translational insights.

Skills

AI approaches

Genomic data

Collaborative work

Communication skills

Academic track record

Education

PhD in Computational Biology

PhD in Biostatistics

PhD in Computer Science

Job description

Dana-Farber Cancer Institute in Boston seeks a Postdoctoral Research Fellow in Biostatistics/Machine Learning to join the Hovestadt Lab. The role focuses on applying AI to predict clinical outcomes and to provide treatment recommendations for pediatric cancer, using large genomic datasets.

The postdoc will collaborate with scientists across disciplines, advancing translational cancer research and computational methods in a leading lab.