Postdoc: Multiomics Cancer Epigenetics & Predictive Modeling

Dana-Farber Cancer Institute; Boston (MA); On-site; USD 72,000 - 76,385; Full time

Job summary

Dana-Farber Cancer Institute in Boston seeks a highly motivated Postdoctoral Research Fellow to join the Center for Functional Cancer Epigenetics. The project focuses on multiomic analyses and developing predictive models of therapy response using clinical trial data.

You will collaborate with computational biology, genomics, and clinical teams, implement pipelines, and contribute to publications and grant applications.

Qualifications

• PhD in Bioinformatics, Computational Biology, Systems Biology, Statistics, Computer Science, or related field.
• Strong programming skills in Python, R, or equivalent, with experience in data analysis, statistics, and machine learning.
• Experience with multiomic datasets (RNA-seq, ATAC-seq, ChIP-seq, spatial transcriptomics, single-cell).
• Familiarity with data integration frameworks, predictive modeling, and network analysis.

Responsibilities

• Develop and implement computational pipelines for integration of multiomic datasets.
• Apply statistical, ML, and network-based approaches to high-dimensional data.
• Collaborate with experimental and clinical teams to translate findings into insights.
• Design and optimize predictive models of drug response, including digital twin simulations.
• Contribute to manuscript writing and dissemination of findings.

Skills

Programming in Python or R

Multiomic data analysis

Data integration frameworks

Cloud computing/HPC

Education

PhD in Bioinformatics/Computational Biology/Statistics/CS

Tools

Snakemake

HPC environments

Job description

Dana-Farber Cancer Institute in Boston seeks a highly motivated Postdoctoral Research Fellow to join the Center for Functional Cancer Epigenetics. The project focuses on multiomic analyses and developing predictive models of therapy response using clinical trial data.

You will collaborate with computational biology, genomics, and clinical teams, implement pipelines, and contribute to publications and grant applications.