Tampa, FL, USA
328 days ago
Bioinformatics/Machine Learning/Biomarker Discovery Postdoctoral Fellow

At Moffitt Cancer Center, we strive to be the leader in understanding the complexity of cancer and applying these insights to contribute to the prevention and cure of cancer. Our diverse team of over 9,000 are dedicated to serving our patients and creating a workspace where every individual is recognized and appreciated. For this reason, Moffitt has been recognized on the 2023 Forbes list of America’s Best Large Employers and America’s Best Employers for Women, Computerworld magazine’s list of 100 Best Places to Work in Information Technology, DiversityInc Top Hospitals & Health Systems and continually named one of the Tampa Bay Time’s Top Workplace. Additionally, Moffitt is proud to have earned the prestigious Magnet® designation in recognition of its nursing excellence. Moffitt is a National Cancer Institute-designated Comprehensive Cancer Center based in Florida, and the leading cancer hospital in both Florida and the Southeast. We are a top 10 nationally ranked cancer center by Newsweek and have been nationally ranked by U.S. News & World Report since 1999.
Working at Moffitt is both a career and a mission: to contribute to the prevention and cure of cancer. Join our committed team and help shape the future we envision.

Summary

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. The positions will remain open until filled.

 

Position Highlights:

Work on unique, multi-omics datasets to support translational lung cancer research. Develop cutting-edge methods for processing, analyzing, and interpreting multi-omics data. 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. The postdoctoral research fellow will enjoy a close working relationship with bioinformaticians, statisticians, clinicians, translational researchers, as well as bench scientists to establish a well-rounded multidisciplinary team. Moffitt integrates excellent patient care with cutting-edge clinical and basic research. Having a cancer hospital on-site provides unique opportunities for translational research. Outstanding mentorship from expert faculty with wide-ranging funded research programs including T32 Training Grants. You will be encouraged and supported to apply for training grants.

 

The Ideal Candidate:

Experience of analysis and integration of multi-omics data (e.g., DNA-seq, RNA-seq, proteomics). Research background/experiences in Bioinformatics, Statistics, Computational Biology, or Machine Learning. A highly motivated and independent researcher with a strong quantitative scientific background. Programming experience in statistical program R and/or scripting languages such as Perl/Python on Unix/Linux systems. Experience in cancer genomics is not required but the ability to learn new knowledge is highly desirable. Excellent communication and writing skills. Experience of single-cell RNAseq, spatial transcriptome data, is preferred.

 

Responsibilities:

Develop bioinformatics pipelines for analyzing high dimensional immunological data. Develop novel visualization tools for interpreting big cancer Omics data. Discover new predictive biomarkers for cancer prognosis. Develop and extend machine learning methods for big cancer Omics data such as single-cell omics data and spatial transcriptomics data. Supports the full life-cycle of omics data: experimental design, data quality control, bioinformatics analysis, biological interpretation of results, and delivery. Collaborate on a variety of cancer and bioinformatics research projects.

 

Credentials and Qualifications:

PhD in Bioinformatics, Statistics/Biostatistics, Computational Biology, Data Science, Machine Learning, or related fields.

 

Moffitt Postdocs are provided with Medical (Moffitt covers premium for team member) effective upon start date and eligible for Dental, Vision, Paid Time Off, Retirement, Parental Leave and more. You may be eligible for relocation assistance per policy. Reasons to relocate, aside from the sunshine, beaches and year-round outdoor recreation associated with the Gulf Coast of Florida, Tampa is a thriving metropolitan city, which has become a hub for ground-breaking research, welcoming individuals from around the globe. This diverse city is engulfed with rich culture, year-round activities for all, beautiful beaches, amazing cuisine and so much more. We strive for work/life balance.

 

If you have the vision, passion, and dedication to contribute to our mission,

then we have a place for you.

 

How to Apply: Interested applicants should send a single PDF file that includes a cover letter summarizing their research training and accomplishments, a personal statement of scientific interests and goals, current CV with recent publications, and contact information for three references to Dr. Xiaoqing Yu (xiaoqing.yu@moffitt.org).

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