Cancer Biology Omics Associate Data Scientist

The Immunology department at MD Anderson Cancer Center seeks to determine the fundamental cellular and molecular mechanisms of a wide range of processes by which the body recognizes and eliminates pathogens and use these findings to unleash the patient's own immune system against previously treatment-resistant cancers. Treating the immune system rather than the cancer itself, the therapeutics developed are applicable to many cancers.

The Associate Data Scientist in the Bullman Lab will assist in the computational analysis of spatial single-cell transcriptomic and proteomic data from patient tumors generated from platforms such as Cos Mx Spatial Molecular Imager. Analyses will involve identifying spatially localized cellular niches, characterizing immune and epithelial cell states, modeling cell-cell communication, and uncovering pathways through which host-microbe interactions influence tumor biology.

The ideal candidate brings experience in single-cell or spatial biology, cancer biology omics or genomics, and proficiency in Python, supported by relevant academic training and applied research or industry experience.

Minimum $42.31 - Midpoint $52.88 - Maximum $63.46

The typical work schedule is onsite.

Work location:

Texas Medical Center.

• Employer-paid medical coverage starting day one for employees working 30+ hours/week, plus optional group dental, vision, life, AD&D, and disability insurance.
• Accruals for PTO and Extended Illness Bank, plus paid holidays, wellness, childcare, and other leave options.
• Tuition Assistance Program after six months of service and access to extensive wellness, fitness, and employee resource groups.
• Defined-benefit pension through the Teachers Retirement System, voluntary retirement plans, and employer-paid life and reduced salary protection programs.

• Process and interpret single-cell RNA-seq, spatial transcriptomic, and spatial proteomic datasets.
• Apply clustering, differential expression, trajectory inference, and spatial proximity methods.
• Integrate multimodal datasets from Cos Mx, MIBI, STOmics, and Geo Mx platforms.
• Identify spatially localized cellular niches and characterize immune and epithelial cell states.
• Model cell-cell interactions and evaluate host-microbe influences on tumor biology.

• Build and maintain reproducible Python and R analysis pipelines.
• Document workflows and ensure consistency across high-dimensional omics analyses.
• Conduct pathway enrichment and network analyses to identify relevant biological trends.
• Generate publication-quality figures for manuscripts, grants, and presentations.

• Partner with interdisciplinary team members to interpret data and support experimental planning.
• Present analytical results in lab meetings and project discussions.
• Maintain organized code, metadata, and supplementary materials to ensure reproducibility and data sharing.

Required:

Bachelor's Degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or related field.

Required:

Two years Scientific software or industry development/analysis.

Preferred:
Must have prior experience in single-cell or spatial biology, cancer biology omics, or cancer genomics, and demonstrate proficiency in Python.

The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition.

This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.

It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state, or local laws unless such distinction is required by law.

• Requisition
• Employment Status:
  Full-Time
• Employee Status:
  Regular
• Work Week:
  Day/Evening, Days
• Minimum Salary: US Dollar (USD) 88,000
• Midpoint Salary: US Dollar (USD) 110,000
• Maximum Salary : US Dollar (USD) 132,000
• FLSA: exempt and not eligible for overtime pay
• Fund Type:
  Soft
• Work Location:
  
  Onsite
• Pivotal Position:
  Yes
• Referral Bonus Available?:
  Yes
• Relocation Assistance Available?:
  Yes