Data Analytics Specialist
MD Anderson Cancer Center
The University of Texas MD Anderson Cancer Center is a leading institution focused on cancer care, research, education, and prevention. Within the Department of Epidemiology, researchers foster high-quality epidemiological research aimed at acquiring new knowledge related to endpoints across the cancer continuum, from risk through survivorship. The Data Analytics Specialist plays a critical role in supporting these efforts through advanced data analysis, research support, and analytical expertise.
As a member of UT MD Anderson, the Data Analytics Specialist provides critical research and analytical expertise to advance division business goals and objectives. The Data Analytics Specialist works with complex datasets, supports scientific research initiatives, and contributes to data-driven decision making. The Data Analytics Specialist collaborates with researchers and stakeholders to transform data into meaningful insights that support the institution's mission.
The ideal Data Analytics Specialist candidate will have a strong biostatistics background or significant experience as a biostatistician, with expertise in statistical analysis, modeling, and interpretation of complex research or healthcare data. Masters in Biostatistician Proficiency in R is highly desirable. A background in genomics and biomedical research is plus.
Minimum: $37.26/hour • Midpoint: $46.63/hour • Maximum: $56.01/hour
Work Location: Texas Medical Center
The typical work schedule is Hybrid at least 2-3 times a week and additional based on business needs.
Why Us?
At UT MD Anderson, the Data Analytics Specialist contributes directly to groundbreaking epidemiological research that advances understanding across the cancer continuum. This role offers the opportunity to collaborate with leading researchers, develop advanced analytical expertise, support high-impact scientific initiatives, and contribute to discoveries that improve patient outcomes while benefiting from a flexible hybrid work environment.
• 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.
Responsibilities
• Use data throughout the data pipeline, including data mining, data management, statistical analysis, and data presentation
• Data mine internal and external sources and convert raw data into usable and manageable formats
• Prepare raw data for storage, integration, and analysis
• Manage and organize data to support research and operational objectives
• Perform statistical analyses using appropriate analytical methodologies
• Develop key indicators and outcome-tracking metrics to evaluate performance and research objectives
• Collect, process, and analyze relevant data, trends, benchmarks, and outcome measures
• Create data visualizations and presentations that effectively communicate findings and insights
• Conduct literature research and synthesize information to support scientific and business initiatives
• Provide analytical support and data for publications, presentations, grant submissions, and award applications
• Prepare datasets, reports, charts, and summaries for annual reports and internal and external ad hoc reporting needs
• Collaborate with researchers and stakeholders to transform data into meaningful insights that advance departmental goals
• Apply biostatistical knowledge and analytical expertise to support epidemiological research activities
• Utilize R and/or Python to support data analysis, reporting, and research initiatives
• Support projects involving large and complex datasets, with genomics data experience considered a plus
EDUCATION
• Required: Bachelor's Degree in Business Administration, Statistics, Healthcare Administration, or related field
• Preferred: Master's Degree in Business Administration, Statistics, Healthcare Administration, or related field
WORK EXPERIENCE
• Required: Five years of experience in data analysis. Three years of experience in data analysis with a Master's degree
• Preferred: Strong biostatistics background or significant experience as a biostatistician. Proficiency in R is highly desirable. Background in genomics and biomedical research is a plus.
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.
Additional Information
Requisition ID: 183290
Employment Status: Full-Time
Employee Status: Regular
Work Week: Days
Minimum Salary: US Dollar (USD) 77,500
Midpoint Salary: US Dollar (USD) 97,000
Maximum Salary : US Dollar (USD) 116,500
FLSA: exempt and not eligible for overtime pay
Fund Type: Soft
Work Location: Hybrid Onsite/Remote
Pivotal Position: No
Referral Bonus Available?: No
Relocation Assistance Available?: No
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