Translational Bioinformatics Postdoctoral Fellow

Moffitt Cancer Center
Department of Biostatistics and Bioinformatics
United States FL TAMPA


Now hiring a Postdoc Fellow in the Translational Bioinformatics and Cancer Systems Biology Laboratory of Dr. Aik Choon Tan ( ) at the H. Lee Moffitt Cancer Center & Research Institute. We are looking for a talented, energetic and highly motivated individual to join our lab to "contribute to the prevention and cure of cancer"! This position will be involved in innovative cancer genomic projects. The research fellow will develop computational and statistical algorithms for the analysis and interpretation of cancer genomic datasets using histopathological images and next generation sequencing technologies, and to develop computational tools for linking these vulnerabilities with therapeutics. The research fellow will have the opportunity to be trained by computational and experimental mentors, and will be supervised by Dr. Aik Choon Tan ( He/she will have the opportunity to collaborate with cutting-edge oncology research groups at the Moffitt Cancer Center and work on translational research projects.

Position Highlights:.
Opportunity to work in exciting translational cancer research projects in a multi-disciplinary team science setting.
Participate in advanced cancer genomics and cancer systems biology research projects.
Outstanding mentorship from expert faculty with wide-ranging funded research programs.
Work at the intersection of data science and cancer research.
Translating bioinformatics research in clinical trials.

The Ideal Candidate:
The successful applicant will have completed (or be close to completing) a Ph.D. or M.D./Ph.D. in an applied quantitative discipline. This includes, but is not limited to, Computer Science, Informatics, Biostatistics, Population/Evolutionary Genomics, or Applied Mathematics.
Should have at least one first Author publication.
The applicant should have a strong interest in either basic or translational research. A track record of applying computational and/or statistical models to solve biological problems is desired.
Experience in common programming languages is needed (e.g., R, Python, C, Java, Perl).
Preference will be given to applicants with strong evidence of productivity, creativity, and self-motivation.
A track record of conference poster and/or oral presentations, and first author peer-reviewed publications, is expected.

Design, develop and deploy computational and statistical methods in analyzing cancer genomics data.
Works closely with the Principal Investigator to manage, analyze and interpret data.
Contribute to peer-reviewed publications.
Present results in conferences and meetings.
Communicate effectively in team science settings.
Contribute to rigor and reproducible data science research.


MD or PhD in Computer Science, Bioinformatics, Informatics, Biostatistics, Computational Biology, Biomedical Informatics, Statistics, Population/Evolutionary Genomics, Geomics, Cancer Biology or Applied Mathematics.

Start date

As soon as possible

How to Apply

Please apply

For more information, please send CV and cover letter to me.


Aik Choon Tan