Postdoctoral Fellow in Bioinformatics - ...
Moffitt Cancer Center - Tampa, FL
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Working at Moffitt is both a career and a mission: to contribute to the prevention and cure of cancer. As the only National Cancer Institute-designated Comprehensive Cancer Center based in Florida, Moffitt employs some of the best and brightest minds from around the world. Join a dedicated team of nearly 10,000 who are shaping the future we envision. Moffitt has been recognized as a Best and Brightest Company to Work for in the Nation, a Digital Health Most Wired Organization and continually named one of the Tampa Bay Time's Top Workplaces. A National Cancer Institute (NCI)-designated Comprehensive Cancer Center since 2001. 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. Share:
Created: 2026-04-15