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University of Texas Southwestern Medical Center
Computational Biologist I, Green Center
Posted
7 weeks 3 days ago

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Job Description

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Computational Biologist I, Green Center Why 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 The Green Center for Reproductive Biology Sciences is seeking a Computational Biologist at the Cecil H. and Ida Green Center for Reproductive Biology Sciences. The Computational Biologist I will be involved in the analysis of next-generation sequencing (NGS) data or high throughput array data, and integration of different sequencing techniques like RNA-seq, ChIP-seq, ATAC-seq, PRO-seq and scRNAseq, to understand the basic mechanisms of nuclear signaling and gene regulation and how these signaling pathways relate to human physiology and disease states. As a Computational Biologist you will play a key role in analyzing high performance next-generation sequencing (NGS) data analysis pipeline systems as well as help implement complex data integration methods/algorithms across various NGS sequencing techniques. This innovative research position allows you to investigate complex data problems within reproductive biology sciences and help to prepare research reports for presentations. As a valued member of our reproductive biology team, you will have the opportunity to help UT Southwestern with our mission to educate, discover, and heal and grow into advanced supervisor roles. Preferred qualifications * Experience working with bioinformatics pipelines for processing, analyzing and interpreting NGS data and/or Mass Spectrometry data is highly desired. * Experience in python, R, and bash scripting. * Knowledge of version control systems such as git. * Knowledge about various public and proprietary data repositories (e.g. TCGA, GTEx, 1000 genomes) and familiarity in handling GWAS, eQTL, SNP data analysis. * Ability to synthesize statistical and bioinformatics results into graphic and written form. * Excellent teamwork, time management, and organizational skills. * Excellent English written and oral communication skills Experience and Education * Master's degree in Computer Science or a related field of biological science. * Bachelor's degree in Computer Science or a related field of biological science, and two (2) years related research experience in bioinformatics and computational biology. Lab Job Duties * Candidate for this position will work independently as well as a part of the Green Center Computational core group to: * Perform high performance next-generation sequencing (NGS) data analysis pipeline systems, to analyze data in a reliable and timely fashion. * Implement data integration methods/algorithms across various NGS sequencing techniques (ChIP-seq, RNA-seq, Hi-C etc). * Participate in the brainstorming sessions to seek reliable solutions for complex data analysis related to specialized research methodologies. * Work with various research databases/resources to support research projects. * Investigate complex problems involving interesting and sometimes puzzling data. * Prepare research reports for presentation sometimes to a broad range of non-computational staff and assist with preparation of manuscripts for publication. * Perform other duties as assigned. Job Duties * Manage research laboratory computer hardware and software programming and maintenance. Ensure existing systems meet the continuing needs of the lab and/or recommend and test new systems as necessary. * Perform complex data analysis related to specialized research methodologies and results as assigned by the PI. * Develop and/or modify software to support new and ongoing research projects. * Resolve hardware, software, and network issues in support of the lab. * Develop and maintain complex databases to support new and ongoing research projects. * Train laboratory staff in the use of pertinent research systems. * May specialize in bioinformatics, software development, network administration, or hardware/software maintenance. * Perform other duties as assigned. Knowledge, Skills, & Abilities * Work requires knowledge of computer technology (hardware, software, and programming) and basic knowledge of molecular biology or genetics or related biological science field. * Work requires ability to communicate directly with software/database developers. * Work requires ability to communicate and work with academic faculty, design creative solutions, both short and long run for software development needs in a bio and medical informatics functional area. * Work requires excellent planning and organizational skills. * Work requires excellent interpersonal and leadership skills. * Work requires ability to prioritize work and meet deadlines. * Work requires telephone and personal contact with all levels of internal and external personnel and organizations. * Work requires minimal physical exertion. Working Conditions Work is performed primarily in general office area. To learn more about the benefits UT Southwestern offers, visit https://www.utsouthwestern.edu/employees/hr-resources/ This position is security-sensitive and subject to Texas Education Code §51.215, which authorizes UT Southwestern to obtain criminal history record information. 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.

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