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Computational Biologist II, School Public Health

Company: UT Southwestern
Location: Dallas
Posted on: November 26, 2022

Job Description:

Why UT Southwestern?

With over 75 years of excellence in Dallas-Fort Worth, Texas, UT Southwestern is committed to excellence, innovation, teamwork, and compassion. At UT Southwestern, we invest in you with opportunities for career growth and development that align with your future goals and help to provide security for you and your family. Our highly competitive benefits package offers healthcare, PTO and paid holidays, on-site childcare, wage, merit increases and so much more that are all available on the day you start work. UT Southwestern is honored to be a Veteran Friendly work environment that is home to approximately 800 veterans. We value your integrity, dedication, and the commitment you've made to our country. We're proud to support your next mission. Ranked by Forbes as one of the Top 10 National Employers, 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

UT Southwestern Medical Center is hiring for Computational Biologist II, School Public Health

Dr. Cowell's lab at UTSW is looking for an enthusiastic and highly motivated computational biologist or data scientist. Talented computational scientists with interest in gaining experience in a multidisciplinary and dynamic research environment are encouraged to apply. The successful candidate will work closely with physicians, experimentalists, computational biologists, graduate students and postdoctoral fellows to analyze mouse and human, single cell and bulk, AIRR-seq and NGS data and integrate with relevant clinical data to address biological questions about the adaptive immune system and its role in cancer and other diseases. Opportunities to develop new computational methods, machine learning algorithms, and analysis software are available. This is an excellent opportunity that leverages incredible resources to contribute to new research and insights about the immune system and cancer biology.

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.

Preferred Skills

Exposure or training in NGS data analysis, functional genomics, and/or human genetics

Excellent programming skills, for example, in R, Python, and BASH

Knowledge of machine learning libraries such as PyTorch and Tensorflow

Team oriented with good written and verbal communication skills

Training in statistics or machine learning preferred.

Preferred Competencies

Consistently demonstrates skills and knowledge relevant for current role; strives to expand the depth and breadth of technical and professional skills; works with a high level of integrity; exhibits focus and discipline; appropriately prioritizes and manages expectations, and delivers on commitments.

Models' collaboration and teamwork; brings out the best in others; communicates clearly and listens carefully; uses good judgment as to what to communicate and when to do so.

Adaptable and embraces change; develops new insights and pursues improvements and efficiency; takes initiative and is solution-oriented; engages in work with passion and curiosity.

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.

**Other Duties: Performs other duties as assigned.

Preferred Job Duties

Develop and apply computational methods to analyze NGS datasets

Develop and apply machine learning algorithms to adaptive immune system datasets

Contribute to the codebase, development, and support of open-source software packages

Assist in data analysis and interpretation for diverse research projects

Help to manage lab servers and computational infrastructure

Document and present results in written or oral reports to other lab members and collaborators

For COVID-19 vaccine information,---applicants should visit---https://www.utsouthwestern.edu/covid-19/work-on-campus/

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

To learn more, please visit: https://jobs.utsouthwestern.edu/why-work-here/diversity-inclusion%29882471%

Keywords: UT Southwestern, Dallas , Computational Biologist II, School Public Health, Other , Dallas, Texas

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