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Postdoctoral Fellow in Omics Data Science

Moffitt Cancer Center

Postdoctoral Fellow in Omics Data Science

Working at Moffitt is both a career and a mission: to contribute to the prevention and cure of cancer. 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. Join a dedicated team of nearly 10,000 who are shaping the future we envision. Moffitt has been recognized as a Best and Brightest Company to Work for in the Nation, a Digital Health Most Wired Organization and continually named one of the Tampa Bay Time's Top Workplaces. A National Cancer Institute (NCI)-designated Comprehensive Cancer Center since 2001.

Omics techniques emerged as efficient and comprehensive approaches to profile bio-signatures in many biomedical fields at the resolution of cell molecules and tissue imaging pixels. Quantifying and interpreting these signatures from omics profiling face data challenges such as heterogeneities, noise/errors, large volume, context complexities, etc. Our lab (Dr. Teng Lab) in the Department of Biostatistics and Bioinformatics focuses on developing statistical and machine learning methods to analyze, annotate and integrate complex omics datasets. We build open-source software to ease the data analysis across omics modalities. Particularly, our ongoing work in the lab addresses questions including: heterogeneity removal in genomic sequencing data, enhancer function dissection with large epigenomic data modeling, DNA oncovirus mechanisms with cross-modality integration, etc. Beyond ongoing focuses, we are also expanding the research in other topics: statistical modeling in spatial omics; AI models in translational pathology; machine learning in clonal hematopoiesis evolution, etc. We are committed to understanding human diseases like cancers through data science innovations. We are looking for a Postdoctoral Fellow in omics data science to contribute to any of the topics above.

Ideal Postdoc Candidate:

  • Highly motivated and passionate about biomedical data science
  • Strong background in machine learning and/or statistics
  • Proficient programming and scientific writing
  • Experienced in omics data processing
  • Excellent communication skills

Minimum Qualifications:

  • A Ph.D. in Computer Science, Bioinformatics, Biostatistics or a related field.

Moffitt Postdoctoral Fellows receive a competitive salary along with comprehensive benefits, including free medical coverage for themselves and subsidized coverage for dependents. Additional benefits include dental and vision insurance, paid time off, retirement plans, parental leave, and more. Eligible fellows may also receive relocation assistance in accordance with Moffitt's policy.

Tampa is a thriving metropolitan city, which has become a hub for groundbreaking research, welcoming individuals from around the globe. This city is engulfed with rich culture, year-round activities for all, beautiful beaches, amazing cuisine and so much more.

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.

Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. Moffitt endeavors to make moffitt.org/careers accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact one of the Human Resources receptionists by phone at View phone number on click.appcast.io or by email at View email address on click.appcast.io.

Vacancy posted 10 hours ago
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