Programmer Analyst I, Childrens Research Institute

UT Southwestern Medical Center - Dallas, TX

Full-time

Hybrid - Dallas, TX

Hospitals

About the position

The Programmer Analyst I position at the Children's Research Institute (CRI) offers an opportunity to work on computational, bioinformatics, and biostatistical projects under the guidance of experienced scientists and physicians. The role involves collaborating closely with a Bioinformaticist in the Morrison Laboratory, contributing to research aimed at understanding the biological basis of diseases, particularly in the fields of regenerative medicine and cancer biology.

Responsibilities

• Defines and analyzes problems of limited complexity or assists user personnel in analyzing and defining such problems for computer solutions.
• Determines methods or approaches; creates designs of computer systems to accomplish job or selects or modifies existing programs; decides flow of data or information through the system.
• Documents procedures for system, computer programmers, and users.
• Assists in the implementation of systems and job streams.
• Develops efficient, fast programming techniques and performs moderately complex programming and debugging.
• Assists in estimating resources required for project and planning purposes.
• Performs other duties as assigned.

Requirements

• High school graduation or GED plus successful completion of vocational training in computer programming and three (3) years experience in computer operation and/or programming, including at least one (1) year experience in computer programming.
• College degree in a related field may be used in lieu of experience.
• Linux command-line operations, shell and awk scripting.
• Workflow development using YAML or equivalent tools.
• Programming language: R with R Shiny.
• Web development using the Apache web server, Django framework and SQLite database or equivalent tools.
• An interest in biomedical research, particularly stem cells and cancer.

Nice-to-haves

• Experience in using a computer cluster/cloud for parallel computing.
• Experience in bioinformatic/biostatistical data analysis.
• Experience in biomedical research.