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Bioinformatics/Machine Learning/Biomarker Discovery Postdoctoral Fellow
Company Information
At Moffitt Cancer Center, we come face-to-face with cancer every day, but we also see courage. And it inspires us to be the safest and best place for cancer care – to bring greater hope to every patient we serve. It’s why we’ve been continually named One of the Top Places to Work in the Tampa Bay Area. 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. Moffitt is the leading cancer hospital in both Florida and the Southeast and has been nationally ranked by U.S. News & World Report since 1999. Because working at Moffitt is both a career and a mission: to contribute to the prevention and cure of cancer. Join a dedicated, diverse and inclusive team of over 8,000 to be a part of the Courageous future we envision.
Dr. Xiaoqing Yu’s Lab, within 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 projects in omics data analysis and cancer biomarker discover. The post-doctoral research fellow will also be co-mentored by Drs. Jamie Teer, Xuefeng Wang and Bradford Perez. The positions will remain open until filled.
Responsibilities includes:
1. Develop and extend machine learning methods for big cancer Omics data such as single-cell omics data and spatial transcriptomics data.
2. Develop bioinformatics pipelines for analyzing high dimensional immunological data.
3. Develop novel visualization tools for interpreting big cancer Omics data.
4. Discover new predictive biomarkers for cancer prognosis.
5. Collaborate on a variety of cancer and bioinformatics research projects.
Position Highlights:
1. The position is essential for development of comprehensive tools benefiting basic to clinical research through identification of novel biomarkers to treat cancer and the improved treatment stratification of cancer patients.
2. The postdoctoral research fellow will enjoy a close working relationship with bioinformaticians, statisticans, clinicians, translational researchers, as well as bench scientists to establish a well-rounded multidisciplinary team.
3. Moffitt integrates excellent patient care with cutting-edge clinical and basic research. Having a cancer hospital on-site provides unique opportunities for translational research.
4. Outstanding mentorship from expert faculty with wide-ranging funded research programs including T32 Training Grants.
5. You will be encouraged and supported to apply for training grants.
1. Research background/experiences in Bioinformatics, Statistics, 2. Computational Biology, Machine Learning, or Computer Science.
3. A highly motivated and independent researcher with a strong quantitative scientific background.
4. Programming experience in statistical program R and/or scripting languages such as Perl/Python on Unix/Linux systems.
5. Experience in cancer genomics is not required but the ability to learn new knowledge is highly desirable.
6. Excellent communication and writing skills.
7. Experience of integration of multi-omics data such as WES, RNA-seq, metabolomics, proteomics, etc, is preferred.