Computational Biologist II, Reproductive Biology

Why join Green Center for Reproductive Biology Sciences?
Join UT Southwestern as a Computational Biologist at the Cecil H. and Ida Green Center for Reproductive Biology Sciences.

The Computational Biologist II 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 Experience & Education

• PhD in Computational Biology, Bioinformatics 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, real-world data sets.

Preferred Skills

• Extensive and demonstrated experience working with/developing bioinformatics pipelines for processing and interpreting NGS data and/or Mass Spectrometry data.
• Proficient in python, R, and bash scripting.
• Experience with Slurm desired.
• Experience with version control systems such as git.
• Knowledge of NGS data management and analysis, and genomic database resources at NCBI, EMBL strongly preferred.
• Experience developing custom analysis methods and algorithms.
• Ability to recognize, report, and resolve issues in analysis and developed algorithms.
• Knowledge with various public and proprietary data repositories (e.g. TCGA, GTEx, 1000 genomes)
• Ability to synthesize statistical and bioinformatics results into graphic and written form.
• Excellent teamwork, time management, and organizational skills.
• Knowledge Skills and Abilities Required: Excellent English written and oral communication skills.

Job Duties

• Use established workflows and software packages, to perform basic and complex data analysis related to specialized research methodologies in a reliable and timely fashion.
• Perform complex data integration methods / algorithms across various NGS sequencing techniques (ChIP-seq, RNA-seq, ATAC-seq, PRO-seq, scRNAseq, etc). 
• Implement data integration methods/algorithms across various NGS sequencing techniques.
• Participate in the brainstorming sessions to seek reliable solutions for complex data analysis related to specialized research methodologies. 
• Familiarity and experience working 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. 

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

For COVID-19 vaccine information, applicants should visit https://www.utsouthwestern.edu/covid-19/about-virus-and-testing/cms-vaccine-requirements.html

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

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. 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.