Postdoc: Cancer Bioinformatics & Immunotherapy

Medical University of South Carolina; Orleans Estates (SC); On-site; USD 55,000 - 75,000; Full time

Job summary

The Medical University of South Carolina (MUSC) invites applications for a post-doctoral fellow in bioinformatics with cancer biology, focusing on immunotherapy responses and genomic landscapes of patient tumors. A PhD in a related field is required, with strong programming skills in Python or R and experience in high-throughput omics analyses.

Ideal candidates will contribute to translational cancer research, using transcriptomics and proteomics to identify predictive biomarkers and guide

Qualifications

• PhD in bioinformatics, genomics, computational biology, or related field.
• Experience in cancer biology and bioinformatics analyses.
• Strong programming skills in Python or R; experience with ML methods is a plus.

Responsibilities

• Analyze and interpret high-dimensional molecular data to identify clinically actionable changes.
• Advance integration of multi-omics and clinical datasets to uncover tumor evolution and biomarkers.
• Assess molecular biomarkers for inclusion in controlled clinical trials.
• Collaborate with scientists to develop workflows and pipelines for high-dimensional data analysis.
• Publish research findings and present at conferences.

Skills

Bioinformatics analyses

Cancer biology

Transcriptomics

Computational biology

Education

PhD in bioinformatics or related field

Tools

Python

R

Machine learning

Job description

The Medical University of South Carolina (MUSC) invites applications for a post-doctoral fellow in bioinformatics with cancer biology, focusing on immunotherapy responses and genomic landscapes of patient tumors. A PhD in a related field is required, with strong programming skills in Python or R and experience in high-throughput omics analyses.

Ideal candidates will contribute to translational cancer research, using transcriptomics and proteomics to identify predictive biomarkers and guide