Postdoc: Multi-Omic Cancer Bioinformatics (Flexible Hours)

Dana-Farber Cancer Institute; Boston (MA); On-site; USD 46,000 - 76,000; Full time

Job summary

Dana-Farber Cancer Institute in Boston seeks a Postdoctoral Research Fellow to conduct computational research on multiple myeloma and precursor conditions, developing predictive models from multi-omics data. The role emphasizes collaboration with clinicians and wet-lab scientists, and mentorship of junior researchers.

Located in Boston, the institute fosters inclusive excellence and aims to advance treatment through cutting-edge data science, AI, and translational research within the Dana-Farber

Qualifications

• PhD in Bioinformatics, Computational Biology, Systems Biology, Statistics, Computer Science, or related field; or MD with 2-3 years experience.
• Strong programming skills in Python, R, or equivalent, with experience in data analysis, statistics, and machine learning.
• Experience with multi-omic data integration frameworks, predictive modeling of clinical outcomes, and network-based analysis to identify biomarkers.
• Experience with RNA-seq, ATAC-seq, spatial transcriptomics, single-cell data, etc., familiarity with basic wet lab approaches.
• Background in cancer biology, immunology, and/or patient-derived datasets is a plus; capable of conceiving and leading projects.

Responsibilities

• Conceive, implement, and test statistical, ML, and network-based analyses of high-dimensional biological data.
• Design and optimize predictive models of drug response by integrating multi-omics and clinical data.
• Interpret findings and present at scientific meetings; guide project direction with PI.
• Collaborate with computational/clinical teams and external partners to translate results into actionable insights.
• Maintain meticulous notebooks and documentation for reproducibility.
• Contribute to grant applications, manuscripts, and progress reports; prepare figures and data.
• Mentor junior team members on analytical approaches and professional development.

Skills

Python

R

Statistics

Machine learning

Team collaboration

Scientific communication

Education

PhD in Bioinformatics/Computational Biology/Statistics or related

MD with 2-3 years related experience

Tools

Multi-omics frameworks

Genomics tools

Transcriptomics tools

Network analysis tools

Job description

Dana-Farber Cancer Institute in Boston seeks a Postdoctoral Research Fellow to conduct computational research on multiple myeloma and precursor conditions, developing predictive models from multi-omics data. The role emphasizes collaboration with clinicians and wet-lab scientists, and mentorship of junior researchers.

Located in Boston, the institute fosters inclusive excellence and aims to advance treatment through cutting-edge data science, AI, and translational research within the Dana-Farber