Computational Statistics Jobs in Texas (NOW HIRING)

WHY UT SOUTHWESTERN?
With over 75 years of excellence in Dallas-Fort Worth, Texas, UT Southwestern is committed to excellence, innovation, teamwork, and compassion. As a world-renowned medical and research center, we strive to provide the best possible care, resources, and benefits for our valued employees. Ranked as the number 1 hospital in Dallas-Fort Worth according to U.S. News & World Report, we invest in you with opportunities for career growth and development to align with your future goals. Our highly competitive benefits package offers healthcare, PTO and paid holidays, on-site childcare, wage, merit increases and so much more. We invite you to be a part of the UT Southwestern team where you'll discover a culture of teamwork, professionalism, and a rewarding career! 
JOB SUMMARY
Perform professional work in support of scientific research using technical knowledge of software, software development, networking, and/or hardware in a complex computing environment. Subject matter expert in multiple areas of computing technology, and specific knowledge of molecular biology and genetics. Works collaboratively with Principal Investigator ("PI") to determine the most suitable computational methods and tools to analyze large-scale biological data sets. Prepare reports for presentation or publication. Responsible for assisting PI in meeting the system needs for multiple research projects and/or labs. 
The Levi Laboratory seeks a skilled Computational Biologist I to advance cutting-edge research in musculoskeletal trauma and biology through innovative computational approaches. This role focuses on developing computational models of musculoskeletal injury, repair and regeneration using purely computational methods. As a Computational Biologist I, you will drive critical research initiatives by analyzing complex biological datasets and developing sophisticated computational workflows. You'll work at the intersection of molecular biology, genetics, and advanced computing technologies to uncover insights into musculoskeletal trauma and healing processes.

RESPONSIBILITIES / ESSENTIAL FUNCTIONS

- Analyze transcriptomic, single-cell, spatial, metabolomics, proteomics, imaging, and other high-dimensional biological datasets.

- Build reproducible Python and R workflows for preprocessing, statistical analysis, visualization, interpretation, and reporting.

- Develop predictive, machine learning/AI, and computer vision approaches for wound healing, trauma response, and tissue analysis.

- Manage laboratory computing infrastructure, including hardware, software, high-performance computing, cloud/server workflows, databases, data management, and network troubleshooting.

- Support wet-lab workflows, including animal handling, small animal procedures, histology, immunofluorescence imaging, CyTOF, flow cytometry, and mammalian cell culture.

- Document methods, prepare reports and presentations, contribute to publications, train lab staff on research systems, and collaborate with the PI, lab members, and external collaborators.

- Recommend and test new systems as needed; perform other duties as assigned.

The ideal candidate will have strong R and Python skills, experience with transcriptomic analysis, statistics, visualization, data management, and biological interpretation.  Knowledge of molecular biology, genetics, or a related biological science.  Additionally, famialiaity with high=performance computing and research computing infrastructure.  

The following skills are preferred:

- Experience with single-cell RNA-seq, bulk RNA-seq, spatial transcriptomics, metabolomics, proteomics, machine learning/AI, computer vision, cloud computing, and workflow management.

- Wet-lab experience in animal models, histology, cell biology, or molecular cell biology.

BENEFITS
UT Southwestern is proud to offer a competitive and comprehensive benefits package to eligible employees. Our benefits are designed to support your overall wellbeing, and include:

• PPO medical plan, available day one at no cost for full-time employee-only coverage
• 100% coverage for preventive healthcare-no copay
• Paid Time Off, available day one
• Retirement Programs through the Teacher Retirement System of Texas (TRS)
• Paid Parental Leave Benefit
• Wellness programs
• Tuition Reimbursement
• Public Service Loan Forgiveness (PSLF) Qualified Employer
• Learn more about these and other UTSW employee benefits!

EXPERIENCE AND EDUCATION
Required

• Education
  Master's Degree In Computer Science or a related field of biological science or 
  Bachelor's Degree In Computer Science or a related field of biological science 
   

• Experience
  2 years Related research experience in bioinformatics and computational biology with Bachelor's Degree 
   

JOB DUTIES

• Manage research laboratory computer hardware and software programming and maintenance. Ensure existing systems meet the continuing needs of the lab and/or recommend and test new systems as necessary.
• 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.

SECURITY AND EEO STATEMENT
Security
This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information.
EEO
UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. As an equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, citizenship status, or veteran status.