Postdoctoral Fellow in Single Cell and Multi-omics Computational Research

Key Skills

Data science techniques, Effective communication skills, JavaScript, Machine learning techniques, MATLAB Programming, Python Programming, R Programming

Job Description

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 7,000 to be a part of the Courageous future we envision.

Summary

Postdoctoral Fellow in Single Cell and Multiomics Computational Research

Dr. Y. Ann Chen’s group

Department of Biostatistics and Bioinformatics

Now hiring a Postdoc Fellow for Single Cell Computational Research in the Laboratory of Dr. Y. Ann Chen (http://lab.moffitt.org/chen/) at the H. Lee Moffitt Cancer Center & Research Institute. We are looking for a highly motivated and independent candidate with a strong quantitative background to develop computational approaches for analyzing single-cell and multi-omics data in cancer research.

Position Highlights:

• This position will be involved in exciting cancer omics projects.
• The goals are to understand tumor-immune interaction, enhance cancer therapeutics prediction, select predictive biomarkers, and improve cancer patient outcomes.
• The research fellow will have the opportunity to be trained by computational and experimental mentors and will be supervised by Dr. Chen.
• He/she will have the opportunity to collaborate with cutting-edge oncology research groups and clinicians at the Moffitt Cancer Center and work on translational research projects.

Ideal Candidate:

• Experience in integration of multi-omics data (e.g., whole-exome sequencing, RNA-seq, metabolomics, proteomics, etc).
• Experience with cluster environments or cloud computing.
• Strong programming skills in languages such as R, Matlab, Python, or JavaScript, etc.
• Research experiences in machine learning, and/or interactive tool development.
• A track record of conference poster and/or oral presentations, and first author peer-reviewed publications, is expected.

Responsibilities:

• The research fellow will be responsible for developing statistical methods and computational tools for integrating and visualizing multi-modality single-cell and bulk omics datasets.
• Design and conduct research directed towards answering specific scientific questions with limited supervision under the general guidance of the Investigator.
• Record, compile and analyze research data. Generate presentation-ready processed data (e.g., graphs and tables) under appropriate supervision.
• May work individually or may have significant oversight over other less experienced research personnel.

Credentials and Qualifications:

• Minimum of an M.D. or Ph.D. in Data Science, Bioinformatics, Biostatistics, Computer Science, or related fields.
• Highly motivated and independent with a strong quantitative scientific background.
• Excellent communication and writing skills.
• Candidates with less than three years of postdoctoral training are preferred.
• Preference will be given to applicants with strong evidence of productivity, creativity, and self-motivation.
• Come and join us to contribute to the prevention and cure of cancer!