Postdoctoral Fellow in Bioinformatics - Chemoproteomics & Cancer Functional Genomics

At Moffitt Cancer Center, we strive to be the leader in understanding the complexity of cancer and applying these insights to contribute to the prevention and cure of cancer. Our diverse team of over 9,000 are dedicated to serving our patients and creating a workspace where every individual is recognized and appreciated. For this reason, Moffitt has been recognized on the 2023 Forbes list of America's Best Large Employers and America's Best Employers for Women, Computerworld magazine's list of 100 Best Places to Work in Information Technology, DiversityInc Top Hospitals & Health Systems and continually named one of the Tampa Bay Time's Top Workplace. Additionally, Moffitt is proud to have earned the prestigious Magnet designation in recognition of its nursing excellence. Moffitt is a National Cancer Institute-designated Comprehensive Cancer Center based in Florida, and the leading cancer hospital in both Florida and the Southeast. We are a top 10 nationally ranked cancer center by Newsweek and have been nationally ranked by U.S. News & World Report since 1999.

Working at Moffitt is both a career and a mission: to contribute to the prevention and cure of cancer. Join our committed team and help shape the future we envision.

Summary

Postdoctoral Fellow in Bioinformatics - Chemoproteomics & Cancer Functional Genomics

Position Overview

A postdoctoral fellow position is available for a highly motivated scientist with expertise in bioinformatics, chemoproteomics, and functional genomics. The successful candidate will participate in research projects leveraging large-scale chemoproteomics datasets, integrating these with public cancer genomics resources, and mining CRISPR screening data to advance cancer biology and therapeutic discovery.

Key Responsibilities:

• Analyze and integrate high-dimensional chemoproteomics datasets with multi-omotic data (e.g., genomics, transcriptomics, proteomics) from public repositories such as DepMap and TCGA
• Develop, implement, and maintain robust computational pipelines in R and other programming languages (e.g., Python) for data processing, statistical analysis, and visualization
• Mine and interpret large-scale CRISPR screening datasets to identify novel cancer dependencies and therapeutic targets, utilizing resources such as DepMap and published CRISPR screens
• Collaborate with interdisciplinary teams of biologists, chemists, and clinicians to design and execute integrative studies, and contribute to the functional validation of computational predictions
• Present research findings at internal meetings and national/international conferences; publish results in high-impact journals
• Mentor junior researchers and contribute to grant writing and manuscript preparation

Required Qualifications:

• PhD in Bioinformatics, Computational Biology, Cancer Biology, Genomics, or a related field is required
• Demonstrated expertise in R and proficiency in other programming languages (e.g., Python)
• Experience working with and mining large public cancer genomics databases, such as DepMap and TCGA
• Proven track record in analyzing and integrating chemoproteomics and/or functional genomics datasets, especially CRISPR screening data
• Strong understanding of statistics and machine learning concepts as applied to biological data
• Excellent written and verbal communication skills, with a history of publishing in peer-reviewed journals
• Ability to work independently and collaboratively in a multidisciplinary research environment

Preferred Qualifications

• Experience with drug development and/or chemistry
• Familiarity with AI/ML approaches for biological data analysis.
• Prior experience in cancer research or translational bioinformatics

Application Instructions:

Interested applicants should submit a CV, a cover letter outlining research experience and interests, and contact information for three references. Applications will be reviewed on a rolling basis.

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