Computational Biologist III - Bioinformatics
Categories: Research & Laboratory Support
Full/Part Time/PRN: Full-Time
Experience and Education
Master's degree in Computer Science or a related field of biological science, and six (6) years related research experience in bioinformatics and computational biology.
Bachelor's degree in Computer Science or a related field of biological science, and eight (8) years related research experience in bioinformatics and computational biology.
Collaborate with Principle Investigator ("PI") to identify and develop new concepts and programs for data collection and analysis. Use expert knowledge to develop new methods and techniques for obtaining solutions.
Perform, or direct others to perform, complex data analysis related to specialized research methodologies and results.
Manage assigned research projects with minimal input from PI. Direct projects with undefined time lines and uncertain outcomes, requiring analysis from multiple perspectives.
Use bioinformatics tools and related laboratory and public databases to support research objectives.
Oversee development of software to support new and ongoing research projects.
Oversee resolution of hardware, software, and network issues in support of laboratory objectives.
Oversee the development and maintenance of complex databases to support new and ongoing research projects.
Oversee the training of laboratory staff in the use of pertinent research systems.
Prepare research reports for presentation, and assist with preparation of manuscripts for publication.
May specialize in bioinformatics, software development, network administration, or hardware/software maintenance.
Perform other duties as assigned.
- Work on multiple clinically-related NLP topics, including text mining, analysis and processing of electronic medical record data (EMR) and integration of text and imaging/genomics datasets
- Collaborate with outstanding biomedical investigators and clinicians and work on exciting research projects
- Utilize existing pipelines to process and analyze high-throughput sequencing data, including DNASeq, RNASeq, ChIPSeq, etc.
- Manage and organize all bioinformatics sequencing data in the lab including reference data from public databases
- Download large public datasets that might need to be manually or semi-manually curated
- Use existing NGS software tools and modifying R scripts
- Generate figures and statistical analyses
UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. In accordance with federal and state law, the University prohibits unlawful discrimination, including harassment, on the basis of: race; color; religion; national origin; gender, including sexual harassment; age; disability; citizenship; and veteran status. In addition, it is UT Southwestern policy to prohibit discrimination on the basis of sexual orientation, gender identity, or gender expression.