The hire will conduct computational and statistical analyses related to The Cancer Genome Atlas (TCGA) datasets and other large-scale genomic and transcriptomic resources. The position supports ongoing cancer informatics projects within the Center for Translational AI Excellence and Applications in Medicine (TEAM-AI) and the McWilliams School of Biomedical Informatics, focusing on modeling gene regulation and post-translational modification pathways in cancer.

Seasonal Hires are a temporary status and therefore may not be employed for a period of more than four and ½ months. These individuals may be hired either as full-time or part-time and must be a minimum age of 16 years.

The hire will conduct an analysis related to TCGA datasets.

What we do here changes the world. UTHealth Houston is Texas' resource for healthcare education, innovation, scientific discovery, and excellence in patient care. That's where you come in.

Once you join us you won't want to leave. It's because we reward our team for the excellent service they provide. Our total rewards package includes the benefits you'd expect from a top healthcare organization (benefits, insurance, etc.), plus:

• 100% paid medical premiums for our full-time employees
• Generous time off (holidays, preventative leave day, both vacation and sick time - all of which equates to around 37-38 days per year)
• The longer you stay, the more vacation you'll accrue!
• Longevity Pay (Monthly payments after two years of service)
• Build your future with our awesome retirement/pension plan!

We take care of our employees! As a world-renowned institution, our employees' wellbeing is important to us. We offer work/life services such as...

• Free financial and legal counseling
• Free mental health counseling services
• Gym membership discounts and access to wellness programs
• Other employee discounts including entertainment, car rentals, cell phones, etc.
• Resources for child and elder care
• Plus many more!

Position Summary:

Seasonal Hires are a temporary status and therefore may not be employed for a period of more than four and ½ months. These individuals may be hired either as full-time or part-time and must be a minimum age of 16 years.

Position Key Accountabilities:

1. Perform data processing, harmonization, and analysis of public transcriptomic and clinical datasets.

2. Generate and document reproducible results using Python/R and GitHub-based workflows.

3. Support visualization and interpretation of gene and pathway-level findings.

4. Prepare analytical summaries and figures for project reports and manuscripts.

5. Participate in regular updates and meetings.

Certification/Skills:

None

Minimum Education:

High School diploma or equivalent, preferred

Preferred Education: Bachelor's degree in Biomedical Informatics, Bioinformatics, Data Science, Computer Science, or related field.

- Master's or Ph.D. in Biomedical Informatics, Computational Biology, or related field.

- Understanding of statistical and network-based methods in genomics

Minimum Experience:

None

Individuals must be a minimum age of 16 years.

Preferred Experience:

- Experience with large-scale genomics data analysis.

- Proficiency in Python or R for data manipulation, statistical modeling, deep learning, and visualization.

- Familiarity with TCGA, GEO, or other public cancer genomics datasets.

- Experience using GitHub for version control and reproducible workflows.

Physical Requirements: None

Security Sensitive: This job class may contain positions that are security sensitive and thereby subject to the provisions of Texas Education Code § 51.215

Residency Requirement:

Employees must permanently reside and work in the State of Texas.