Postdoc in Bioinformatics: Cancer Genomics & Chemoproteomics

CO2000 H. Lee Moffitt Cancer Center and Research Institute, Inc.; United States; On-site; USD 60,000 - 85,000; Full time

Job summary

Moffitt Cancer Center is seeking a Postdoctoral Fellow in Bioinformatics with a focus on chemoproteomics and cancer functional genomics. The role involves analyzing large-scale chemoproteomics data and integrating it with public cancer genomics resources to advance cancer biology and therapeutic discovery.

Responsibilities include building pipelines in R and Python, mining CRISPR screening data, collaborating with biologists and clinicians, presenting results, and contributing to manuscripts and

Qualifications

• PhD in Bioinformatics, Computational Biology, Cancer Biology, Genomics or a related field.
• Chapter

Responsibilities

• Analyze and integrate high-dimensional chemoproteomics datasets with multi-omic data from public repositories such as DepMap and TCGA.
• Develop, implement, and maintain robust computational pipelines in R and Python for data processing, statistical analysis, and visualization.
• Mine and interpret large-scale CRISPR screening datasets to identify cancer dependencies and therapeutic targets.
• Collaborate with biologists, chemists, and clinicians to design integrative studies and validate predictions.
• Present findings at meetings and conferences; publish results in peer‑reviewed journals.
• Mentor junior researchers and contribute to grant writing and manuscript preparation.

Skills

Excellent communication

Independent working

Collaborative research

Education

PhD in Bioinformatics/Computational Biology/Cancer Genomics

Tools

R

Python

CRISPR screen data analysis

DepMap/TCGA data mining

Job description

Moffitt Cancer Center is seeking a Postdoctoral Fellow in Bioinformatics with a focus on chemoproteomics and cancer functional genomics. The role involves analyzing large-scale chemoproteomics data and integrating it with public cancer genomics resources to advance cancer biology and therapeutic discovery.

Responsibilities include building pipelines in R and Python, mining CRISPR screening data, collaborating with biologists and clinicians, presenting results, and contributing to manuscripts and