Bioinformatics/Machine Learning/Biomarker Discovery Postdoctoral Fellow
- Location: Tampa, FL
- Schedule: Full Time - Day Shift - Mon-Fri
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.
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 discovery. The post-doctoral research fellow will also be co-mentored by Drs. Jamie Teer and 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 the development of comprehensive tools benefiting basic to clinical research through identification of novel biomarkers to treat cancer and improve 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 in the analysis and integration of multi-omics data (e.g., DNA-seq, RNA-seq, proteomics).
- Research background/experience in Bioinformatics, Statistics, Computational Biology, or Machine Learning.
- A highly motivated and independent researcher with a strong quantitative scientific background.
- Programming experience in statistical programming 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 with single-cell RNAseq and spatial transcriptome data is preferred.
Responsibilities:
- 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.
- Support 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 are eligible for Dental, Vision, Paid Time Off, Retirement, Parental Leave, and more. You may be eligible for relocation assistance per policy.
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).
Moffitt Cancer Center is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, or protected veteran or disabled status. We seek candidates whose skills, and personal and professional experience, have prepared them to contribute to our commitment to diversity and excellence.
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