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Data Science Research Assistant information

What does a data science research assistant do?

A Data Science Research Assistant supports research projects by gathering, cleaning, and analyzing data using statistical and computational techniques. They assist senior researchers with designing experiments, developing models, and interpreting results. Typical tasks include data preprocessing, coding in languages like Python or R, literature reviews, and creating visualizations to summarize findings. Their work helps advance scientific knowledge and inform decision-making based on data-driven insights.

What is the difference between Data Science Research Assistant vs Data Analyst?

AspectData Science Research AssistantData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's or higher in Data Analysis, Statistics, or related field
Work EnvironmentResearch labs, academic institutions, or research-focused organizationsBusiness settings, corporate offices, or consulting firms
Employer & Industry UsageUniversities, research institutes, government agenciesCorporations, marketing firms, finance, healthcare
Common Search & ComparisonYesNo

Data Science Research Assistants typically focus on supporting research projects through data collection, analysis, and modeling in academic or research settings. Data Analysts primarily interpret data to help organizations make business decisions. While both roles require strong analytical skills and knowledge of data tools, the research assistant role emphasizes academic research and experimentation, whereas data analysts focus on business insights and reporting.

What are the key skills and qualifications needed to thrive as a data science research assistant?

To thrive as a Data Science Research Assistant, you need a strong background in statistics, machine learning, and programming (often with a degree in computer science, statistics, or related fields). Familiarity with tools such as Python, R, Jupyter Notebooks, and data visualization libraries as well as experience with version control systems like Git is typical, and coursework or certifications in data science can be beneficial. Attention to detail, problem-solving ability, and strong communication skills are essential to effectively analyze data, interpret results, and collaborate with research teams. These skills and qualities are critical for producing reliable insights, supporting research objectives, and ensuring the integrity of data-driven projects.

How does a data science research assistant typically collaborate with other team members during a research project?

Data Science Research Assistants frequently work alongside data scientists, research leads, and subject matter experts to support ongoing research. Their responsibilities often include cleaning and preprocessing data, performing exploratory analyses, and implementing models. Regular collaboration occurs through team meetings, code reviews, and sharing findings, ensuring alignment with project goals. Open communication and adaptability are essential, as priorities and datasets can shift based on project needs.
What are popular job titles related to Data Science Research Assistant jobs in Kansas? For Data Science Research Assistant jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Data Science Research Assistant jobs in Kansas look for? The top searched job categories for Data Science Research Assistant jobs in Kansas are:
What cities in Kansas are hiring for Data Science Research Assistant jobs? Cities in Kansas with the most Data Science Research Assistant job openings:
Data Science Research Assistant jobs near you
Infographic showing various Data Science Research Assistant job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Scientist - Biostatistics & Data Science

University of Kansas Medical Center

Kansas City, KS • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

Department:
SOM Department of Biostatistics
Data ScientistPosition Title:
Data Scientist - Biostatistics & Data ScienceJob Family Group:
Professional StaffJob Description Summary:
The Data Scientist will perform basic to intermediate-level data management including data cleaning, data entry, and report generation; participate in project meetings with collaborators; meet with end users for an in-depth understanding of informatics needs and requirements for a broad range of projects; train employees on the use of business intelligence (BI) applications; and assist with the preparation of written reports, manuscripts, and grant applications with investigators under the supervision of a Biostatistics & Data Science member. This individual will play a key role with Environmental influences on Child Health Outcomes (ECHO), IDeA States Pediatric Clinical Trials Network (ISPCTN), and Data Coordinating and Operations Center (DCOC) housed within the Department of Biostatistics & Data Science in ensuring high-quality data management across multi-site clinical trials. This position will serve as the primary point of contact between the DCOC and the participating ISPCTN sites for all data-related activities.Job Description:
Job Duties
  • Serve as the primary data management liaison with ISPCTN clinical sites.
  • Respond to site inquiries and provide timely resolution for data-related issues, including electronic data capture (EDC) access, data entry, and query management.
  • Lead the development and maintenance of study-specific data dictionaries and case report forms (CRFs), ensuring alignment with protocol requirements and standardized data elements.
  • Coordinate with stakeholders to incorporate feedback and maintain consistency across studies.
  • Develop and maintain standard operating procedures (SOPs) and workflows related to data management, EDC use, and site communication.
  • Ensure SOPs are current, aligned with best practices, and implemented across the consortium.
  • Create reports in CRIS Velos and/or Redcap under the supervisor of the Assistant Director of Data Science.
  • Create electronic case report forms (eCRFs).
  • Develop applications to enhance business decision-making capabilities.
  • Analyze existing databases, reports, and processes for opportunities to automate further or simplify utilizing BI tools.
  • Analyze data within various databases utilizing various BI tools and reporting tools to inform business decisions and actions.
  • Write database documentation, including data standards, procedures, and definitions for the data dictionary.
  • Train pertinent staff and other end-users as needed on BI applications, and train other BI specialists on various BI tools.
  • Troubleshoot user issues with BI applications.
  • Ensure research data systems and data management activities comply with applicable federal regulations, Good Clinical Practice guidelines, institutional policies, and other regulatory requirements.
  • Assist the Director of Research IT with system administration, security, maintenance, and operational oversight of research data systems.
  • Support the preparation of reports, manuscripts, and grant applications for investigators under the supervision of Assistant Director of Data Science.
  • Develop and maintain Python and R pipelines for data cleaning, preprocessing, and structuring.
  • Build and update Shiny applications to facilitate interactive data visualization and reporting.
  • Develop pipelines for imaging data harmonization, feature extraction, and quality assurance.
  • Collaborate with neuroimaging investigators to integrate imaging-derived biomarkers with clinical and behavioral datasets.
  • Support reproducible research by maintaining version-controlled analytic workflows and adhering to FAIR data principles.

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
Work Experience:
  • Four (4) years of experience in Computer Science , Information Technology, Statistics, Mathematics or related field. Relevant education may be substituted for experience on a year-for-year basis.
  • Experience with troubleshooting data-related issues.
  • Experience working in a Windows environment.
  • Experience in Relational databases.
  • Experience in creating, conducting training, or documenting Metadata, such as data dictionaries that are utilized for research.

Preferred Qualifications
Education: Bachelor's Degree in Computer Science, Information Technology, Statistics, or Mathematics.
Work Experience:
  • Two (2) years of experience in academic or private health-related research environments.
  • Experience programming in at least one higher-level language (C, C++, Java).
  • Experience with software integration, such as LDAP and Active Directory. PL/SQL, SQL functions, triggers, complex queries, SQL reports.
  • Experience working with relational databases such as Oracle, MySQL, SQL Server, and Business Intelligence tools.
  • Experience with database migration, database development, database maintenance, performance tuning, optimization, or setting up and managing database connections.
  • Experience with the automation of the ETL process between databases.
  • Experience working in a LINUX/UNIX environment.

Skills
  • Communication skills
  • Customer service skills
  • Problem-solving
  • Process and improvement skills.
  • Microsoft Office
  • Tableau
  • R
  • Python
  • SAS

Required Documents
  • Resume/CV
  • 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. https://www.kumc.edu/human-resources/benefits.html
Employee Type:
RegularTime Type:
Full timeRate 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:
$70,200.00 - $105,300.00
Minimum
$70,200.00
Midpoint
$87,700.00
Maximum
$105,300.00

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