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Computational Biologist II

UT Southwestern Medical Center
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Research Technician II, PathologyWhy UT Southwestern?

With over 75 years of excellence in Dallas-Fort Worth, Texas, UT Southwestern is committed to excellence, innovation, teamwork, and compassion. As a world-renowned medical and research center, we strive to provide the best possible care, resources, and benefits for our valued patients and employees. With over 20,000 employees, we are committed to continuing our growth with the best professionals in the healthcare industry. We invite you to be a part of the UT Southwestern team where you’ll discover teamwork, professionalism, and consistent opportunities for growth.

Job Summary

 This position will work under a senior bioinformatician to ensure continued excellence in innovation (bring on new tests/ analysis tools), patient care (ensure on-time processing/ speeding up analysis time), and research (aid in physician and resident research projects by gathering genetic data from across 1000's of cases). Opportunities to help with microbiome/ viral genomic projects are possible too.

Preferred Skills

  • Proficiency in Bash scripting.
  • Fluency in Java programming.
  • Understanding of germline and somatic mutations NGS data analysis, annotation databases, and ability to grasp the biological context underlying the techniques.
  • Familiarity with Nextflow and containerization tools such as Singularity and Docker
  • Knowledge of Perl and/or R is advantageous

Experience and Education

  • Ph.D. in Computer Science or a related field of biological science, thesis work in bioinformatics and computational biology.
  • Master's degree in Computer Science or a related field of biological science, and two (2) years related research experience in bioinformatics and computational biology.
  • Bachelor's degree in Computer Science or a related field of biological science, and four (4) years related research experience in bioinformatics and computational biology.

Lab Duties

  • Conducting intricate NGS DNA and RNA data analyses.
  • Developing and/or adapting software and pipelines to support ongoing and new projects.
  • Maintaining up-to-date documentation of daily lab activities on the Bioinformatics team platform.
  • Performing additional duties as assigned.

Job Duties

  • Perform professional work in support of scientific research using technical knowledge of software, software development, networking, and/or hardware in a complex computing environment.
  • Subject matter expert in multiple areas of computing technology, and specific knowledge of molecular biology and genetics.
  • Manage computer hardware and software programming and maintenance for one or more research laboratories.
  • Ensure existing systems meet the continuing needs of the labs and/or recommend and test new systems as necessary.
  • Perform or direct others to perform complex data analysis related to specialized research methodologies and results.
  • Manage assigned research projects with minimal input from the Principle Investigator.
  • Develop and/or modify software to support new and ongoing research projects.
  • Resolve hardware, software, and network issues in support of the laboratory.
  • Oversee the development and maintenance of complex databases to support new and ongoing research projects.
  • 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.

To learn more about the benefits UT Southwestern offers, visit https://www.utsouthwestern.edu/employees/hr-resources/

UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. As an equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, citizenship status, or veteran status.