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Position TitlePost-Doctoral Research Fellow
The H. Lee Moffitt Cancer and Research Institute is a modern facility in Tampa, Florida. We strive to be the leader in understanding in the complexity of cancer through team science and applying those insights for human benefits. Be part of the cure by joining Moffitt's team of over 1000 research faculty scientists, career staff scientists, postdocs, graduate students and support staff dedicated to cancer research.
Dr. Brooke Fridley’s Lab, at the Department of Biostatistics and Bioinformatics at the H. Lee Moffitt Cancer Center, is seeking a highly motivated, independent, and collaborative postdoctoral research fellow interested in conducting exciting inter-disciplinary research. The Department currently has 17 faculty, 2 postdoctoral research fellows and approximately 25 staff engaged in a wide range of statistical and bioinformatics research and collaborations, including but not limited to, novel therapeutic and drug discoveries, prognostic and predictive biomarker developments, high throughput genomics, proteomics, next-generation sequencing data-based investigations, epidemiological studies, clinical trial designs, and personalized medicine studies. The post-doctoral research fellow will collaborate with Dr. Fridley on statistical genomics methodology projects, along with, collaboration on collaborative cancer research projects.
• Learn research methods that directly relate to the scientific projects with limited direction and supervision.
• Collaborate on a variety of cancer and statistical/bioinformatics research projects
• Develop scientific writing and presentation skills, including grant proposals, manuscript preparation, and formal seminars presented to the Moffitt scientific community and at national scientific meetings.
• Work effectively within an interdisciplinary research team.
The Ideal Candidate:
• Strong written and oral communication skills and the ability to work independently and with collaborators.
• Strong quantitative skills in the areas of biostatistics, statistical genomics and/or bioinformatics.
• Programming experience in statistical program R and scripting languages such as Perl/Python on Unix/Linux systems.
• Knowledge in biology or genetics is desired but not required.
Credentials and Qualifications:
• Successful candidates must have a Ph.D. in statistics, biostatistics, bioinformatics or related field and relevant research training and experience.