Data Scientist - Research Administration

Data Scientist - Research Administration

The Data Scientist - Research Administration provides dedicated data science and engineering support to the Department of Surgery at the University of Kansas Medical Center. The role will focus on developing data pipelines, performing statistical and machine learning analyses, and generating high-quality research outputs using large-scale clinical datasets. This position will work closely with surgeons and researchers to translate clinical questions into data-driven insights. It is a strategic role designed to strengthen the department's research infrastructure and competitiveness for external funding.

Key Roles and Responsibilities :

• Collaborate with Department of Surgery researchers to define project requirements and analytic goals
• Develop and maintain scalable data pipelines and perform ETL processes for clinical data
• Conduct statistical and machine learning analyses on large, complex healthcare datasets
• Clean, transform, and prepare high-quality analytic datasets for research
• Build and validate predictive models to support research questions and clinical insights
• Develop and maintain reusable data marts for commonly used research variables
• Document data workflows, coding processes, and analytic decisions to ensure reproducibility
• Prepare visualizations, summary reports, and presentations of research findings
• Contribute to manuscript and grant writing by providing data-related content and results
• Ensure compliance with data governance, privacy regulations, and institutional policies

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. It is only a summary of the typical functions of the job, not an exhaustive list of all possible job responsibilities, tasks, duties, and assignments. Furthermore, job duties, responsibilities and activities may change at any time with or without notice.

Required Qualifications :

Master's degree in data science, computer science, biostatistics, informatics, or a related quantitative field. Education may be substituted for experience on a year for year basis.

2 years of experience applying statistical methods (e.g., linear / logistic regression, survival analysis in research or healthcare settings.

2 years of experience with data science tools and programming languages such as Python or R.

1 year of experience in developing and maintaining data pipelines and performing data wrangling / cleaning tasks.

1 year of experience working with large healthcare datasets, including electronic health records (EHR).

Preferred Qualifications :

Ph.D. in data science, biomedical informatics, computer science, biostatistics, or a related quantitative discipline. Education may be substituted for experience on a year for year basis.

Certified Health Data Analyst (CHDA)

Certified Specialist in Predictive Analytics

AMIA credentials

2 years of experience working with electronic health record (EHR) data from systems such as Epic or eClinicalWorks.

2 years of experience developing machine learning models (e.g., random forests, gradient boosting, neural networks) for healthcare or clinical research applications.

1 year of experience with high-performance computing or cloud platforms (e.g., AWS, Azure, Google Cloud).

1 year of experience contributing to peer-reviewed research publications or grant applications involving data analysis.

1 year of experience building and maintaining data marts or reusable data products for research.

Skills :

Statistical analysis using R or Python

Data pipeline development and ETL processes

SQL and relational database querying

Machine learning model development and validation

Data cleaning and wrangling

Understanding of HIPAA and data privacy in research

Experience with EHR systems (e.g., Epic, eClinicalWorks)

Familiarity with clinical data models (e.g., OMOP, PCORnet)

Development of advanced machine learning models (e.g., deep learning, ensemble methods)

Advanced Use of cloud-based data platforms or high-performance computing environments

Proficient Experience with data visualization tools (e.g., Tableau, Power BI, Plotly)

Knowledge of version control systems (e.g., Git)

Familiarity with research workflows and publication processes

Required Documents :

Resume

Cover Letter

Comprehensive Benefits Package :

Coverage begins on day one for health, dental, and vision insurance and includes health expense accounts with generous employer contributions if the employee participates in a qualifying health plan. Employer-paid life insurance, long-term disability insurance, and various additional voluntary insurance plans are available. Paid time off, including vacation and sick, begins accruing upon hire, plus ten paid holidays. One paid discretionary day is available after six months of employment, and paid time off for bereavement, jury duty, military service, and parental leave is available after 12 months of employment. A retirement program with a generous employer contribution and additional voluntary retirement programs (457 or 403b) are available.

Employee Type : Regular

Time Type : Full time

Rate Type : Salary

Compensation Statement : The pay range listed for this position is determined by our compensation program using market data and salary benchmarking. A combination of factors is considered in making compensation decisions including, but not limited to, education, experience and training, qualifications relative to the requirements of the position, and funding. At the University of Kansas Medical Center, a reasonable estimate for the starting pay range will be the minimum to midpoint of the posted range, taking into account the combination of factors listed above.

Pay Range : $75,000.00 - $115,000.00

Minimum : $75,000.00

Midpoint : $95,000.00

Maximum : $115,000.00