Education/Qualifications Hold a PhD (or equivalent experience) in Computational Biology, Computer Science, Statistics, or a related discipline. Master’s degree in Bioinformatics or a related field of biological science, with at least two (2) years research experience in Bioinformatics and Computational Biology in developing methods to analyze large, noisy real-world data sets. Job Summary/Duties: Candidate for this position will work independently as well as a part of the Green Center Computational Core Facility to: Develop and revise high performance next-generation sequencing (NGS) data analysis pipeline systems, to analyze data in a reliable and timely fashion. Develop complex data integration methods/algorithms across various NGS sequencing techniques (ChIP-seq, RNA-seq, Hi-C etc). Lead or participate in the brainstorming sessions to seek reliable solutions for complex data analysis related to specialized research methodologies. Oversee the development and maintenance of complex databases to support new and ongoing research projects. Investigate/solve complex problems involving interesting and sometimes puzzling data. Manage computer hardware and software programming and maintenance for one or more research laboratories in the core. Ensure existing systems meet the continuing needs of the labs and/or recommend and test new systems as necessary. 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. Skills: Extensive and demonstrated experience working with/developing bioinformatics pipelines for processing and interpreting NGS data and/or Mass Spectrometry data. Proficiency in one or more programming and scripting languages (R, Python, Java, Perl or Matlab). Experience with Linux and version control systems such as git or subversion Experience developing custom analysis methods and algorithms. Ability to recognize, report, and resolve issues in analysis and developed algorithms. Hands-on experience working with various public and proprietary data repositories (e.g. TCGA, 1000 genomes) and Familiarity/experience in handling GWAS, eQTL, SNP data analysis. Excellent teamwork, time management, and organizational skills. Security This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information Salary Salary Negotiable 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; sex; including sexual harassment; age; disability; genetic information; citizenship status; and protected veteran status. In addition, it is UT Southwestern policy to prohibit discrimination on the basis of sexual orientation, gender identity, or gender expression.
