Associate Data Scientist
Listed on 2026-02-03
-
Research/Development
Data Scientist, Clinical Research -
Healthcare
Data Scientist, Clinical Research
Overview
The Department of Health Services Research conducts the highest quality health services research with the ultimate aims of optimizing health care delivery and improving outcomes for the prevention and treatment of cancer. MD Anderson Cancer Center is a leading institution focused on cancer care, research, education, and prevention. The primary purpose of the Health Services Research Associate Data Scientist position is to develop and maintain mathematical and simulation models related to research conducted in Health Services Research, develop optimization algorithms, computer code, perform statistical analysis and prepare reports, often associated with modeling cancer disease progression and medical decision making.
The ideal candidate will have experience in mathematical modeling, computer programming and data analysis. Salary:
Minimum $88,000 - Midpoint $110,000 - Maximum $132,000
Texas Medical Center
Why Us?This position offers the opportunity to directly support meaningful cancer research while developing advanced skills in modeling, simulation, and data science. You will contribute to work that improves patient outcomes and healthcare delivery, while benefiting from a supportive environment that values continuous learning, collaboration, and work life balance.
Benefits- 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.
- Mathematical Modeling
- Develop mathematical and optimization models to support cancer-related research.
- Implement optimization algorithms to solve analytical models to optimality.
- Validate analytical models using data from national and regional cancer registries and clinical trials.
- Maintain and update models to reflect evolving clinical practices.
- Learn and apply new optimization and approximation methods for efficient model solving.
- Simulation Modeling
- Build microsimulation or Monte Carlo simulation models of disease progression and cancer care processes.
- Validate simulation models using observational registry data and clinical trial data.
- Maintain and update simulation models as clinical standards evolve.
- Data Analysis & Management
- Perform basic and advanced statistical analyses under guidance from statistical analysts.
- Assist faculty with the development of statistical methods for risk assessment and prediction.
- Manage datasets from national and regional cancer registries, clinical trials, medical billing systems, national surveys, and large claims databases including IBM Market Scan, Optum Cl informatics, and Medicare.
- Coordinate multiple concurrent projects efficiently.
- Research, Training & Reporting
- Conduct literature reviews and learn relevant medical terminology.
- Support selection of study design, cohort definition, data analysis, and interpretation of results.
- Present at monthly lab meetings and assist in training trainees to use models and code.
- Prepare tables, figures, text summaries, memos, and components of scientific manuscripts.
- Computer Programming
- Develop computer code for data analyses, mathematical models, and simulation models using Julia, R, and Python.
- Create and maintain online code repositories using Git Hub.
- 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:
Prior mathematical modeling, computer programming and data analysis experience.
The University of Texas MD Anderson Cancer Center is an equal opportunity employer. It does not discriminate on the basis of race, color, religion, national origin, sex, gender identity, sexual orientation, age, disability, or veteran status, and complies with applicable laws.
Additional Information- Requisition
- Employment Status:
Full-Time - Employee Status:
Regular - Work Week:
Days - Minimum Salary: USD 88,000
- Midpoint Salary: USD 110,000
- Maximum Salary: USD 132,000
- FLSA: exempt and not eligible for overtime pay
- Fund Type:
Soft - Work Location:
Hybrid Onsite/Remote - Pivotal Position:
Yes - Referral Bonus Available?:
Yes - Relocation Assistance Available?:
Yes
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