Bioinformatician - REMOTE WORK POSSIBLE
JOB SUMMARY:
The Department of Biostatistics at Vanderbilt University Medical Center is seeking a bioinformatics analyst who will independently and/or as member of a research team contribute to multiple omics research projects. The research seeks to reveal the underlying biological/molecular mechanisms of complex diseases through large-scale data mining, especially high-throughput sequencing data.
Effective communication skills as well as efficient data administration and bioinformatics analysis competencies are critical to the success of this position because they will be used in establishing procedures, writing specifications, programming, documenting and analyzing data, and preparing manuscripts for presentation and publication.
Department/Unit Summary
The Department of Biostatistics at VUMC was founded in 2003, tasked with the mission of bringing biostatistical expertise to the Vanderbilt community. With the unflagging support of the School of Medicine, and the diligence and creativity of our faculty and staff, we daily fulfill our mission: engaging in cutting-edge statistical methodology research, providing collaborative support and educational resources for biomedical and basic science researchers across the university, and training a new generation of Biostatisticians. For more information, please visit https://www.vumc.org/biostatistics/.
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Key Responsibilities:
KEY RESPONSIBILITIES
- Responsibilities will include but are not limited to the following:
- Develop and apply bioinformatics tools to process, analyze, and interpret high throughput datasets, including DNA-seq, RNA-seq, ChIP-seq and single cell RNA-seq.
- Apply biological and statistical knowledge to draw rigorous, actionable conclusions form complex data sets.
- Communicate findings internally and externally.
- Collaborate with groups across the institution to support research projects.
- Participate in the preparation of written reports and oral presentations summarizing data analysis results, including detailed description of bioinformatics methods, detailed analysis of results, and synthesis of conclusions from summary tables.
- Take initiative to acquire new bioinformatics, statistical or programming skills as needed.