Postdoctoral Fellow in Bioinformatics - Chemoproteomics & Cancer Functional Genomics

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 Dep Map 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 Dep Map 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 Dep Map 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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