Computational Biologist I: Cancer Immunology & Genomics

UT Southwestern Medical Center; Dallas (TX); On-site; USD 80,000 - 110,000; Full time

Benefits offered by this job

Healthcare benefits

PTO and paid holidays

On-site childcare

Job summary

UT Southwestern Medical Center in Dallas, TX is seeking a Computational Biologist I to support the Choi Lab in processing large-scale multi-omics data and developing computational methods for protein design. You will collaborate with the PI and a multidisciplinary team to analyze genomic, single-cell, spatial, and clinical datasets, translate findings, and contribute to machine learning efforts.

The role focuses on building and maintaining workflows, software tools, and databases, documenting

Qualifications

• Master's degree in CS or related field of biological science, or bachelor's in CS/biological science
• At least 2 years of related research experience in bioinformatics and computational biology

Responsibilities

• Manage research laboratory computer hardware and software programming and maintenance.
• 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.

Skills

Bioinformatics

Computational biology

Data analysis

Software development

Education

Master's degree in CS or related field of biological science

Bachelor's degree in CS or related field of biological science

Job description

UT Southwestern Medical Center in Dallas, TX is seeking a Computational Biologist I to support the Choi Lab in processing large-scale multi-omics data and developing computational methods for protein design. You will collaborate with the PI and a multidisciplinary team to analyze genomic, single-cell, spatial, and clinical datasets, translate findings, and contribute to machine learning efforts.

The role focuses on building and maintaining workflows, software tools, and databases, documenting