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Job Detail

Computational Postdoctoral Fellow
Moffitt Cancer Center

Developing omics integration approaches and single cell computational tools for cancer research.

Position Highlights:
• This computational postdoctoral fellow will be responsible for developing novel analytics for analyzing, visualizing, and interpreting single cell omics data.
• There will be ample opportunities to interact directly with basic, translational, clinical researchers, bioinformaticians, and biostatisticians to develop algorithms or tools for analyzing single cell data.

The Ideal Candidate:
• A highly motivated researcher with a strong quantitative scientific background and programming skills.
• Research background/experiences in machine learning, AI, and/or interactive too


Credentials and Qualifications:
Required: PhD in Data Science, Bioinformatics, Biostatistics, Computer Science, or related fields.
• Strong programming skills in languages such as R, Matlab, Python, and JavaScript, etc.
• Experience in developing open-source software and/or interactive web-based tools.
• Solid quantitative background and experiences of developing novel algorithms or methods for analyzing time series data.
• Experience of integration of multi-omics data including whole exome sequencing, RNA-seq, metabolomics, proteomics, etc.
• Research background in machine learning and AI.
• Experience with cloud computing/compute cluster environments.
• Excellent communic

Job Information

Start Dates: 0000-00-00

Duration: Full Time

Status: Open

Contact Information

Moffitt Cancer Center
Ann Chen

How To Apply:

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. Y. Ann Chen @ Ann.Chen@moffitt.org.