Genomics-Focused Computational Biologist I

University of Texas Southwestern Medical Center

Dallas (TX)

On-site

USD 75,000 - 110,000

Full time

6 days ago
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Job summary

UT Southwestern Medical Center in Dallas seeks a skilled computational biologist to support genomic and transcriptomic data analyses in a collaborative research setting.

The role requires expertise in Python and R, Unix/Linux environments, and the development of computational workflows for high-throughput data. You will collaborate with PIs, help build scalable pipelines, and contribute to publications and data visualization efforts.

Qualifications

  • Master's degree in Computer Science or related field; biology-related degree acceptable.
  • 2 years related research experience in bioinformatics and computational biology.
  • Experience analyzing genomic and transcriptomic data.
  • Strong programming skills in Python and R; ability to develop computational workflows.
  • Familiarity with bioinformatics tools, databases, and version control (Git).

Responsibilities

  • Manage research laboratory computer hardware, software, and maintenance; ensure systems meet lab needs.
  • Perform complex data analysis for PI using specialized methodologies.
  • Develop/modify software to support ongoing research projects.
  • Resolve hardware, software, and network issues in the lab.
  • Develop and maintain complex databases for research projects.
  • Train lab staff in using research systems.
  • May specialize in bioinformatics, software development, network administration, or hardware/software maintenance.
  • Perform other duties as assigned.

Skills

Python
R
Unix/Linux
Bioinformatics
Data Visualization
Problem Solving
Workflow Development

Education

Master's degree in Computer Science or related field
Bachelor's degree in Computer Science or related field

Tools

Git

Job description

UT Southwestern Medical Center in Dallas seeks a skilled computational biologist to support genomic and transcriptomic data analyses in a collaborative research setting.

The role requires expertise in Python and R, Unix/Linux environments, and the development of computational workflows for high-throughput data. You will collaborate with PIs, help build scalable pipelines, and contribute to publications and data visualization efforts.

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