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Clinical Data Managers

Apply knowledge of health care and database management to analyze clinical data, and to identify and report trends.

How does this connect to your interests? →

A look at the work

  • Design and validate clinical databases, including designing or testing logic checks.
  • Process clinical data, including receipt, entry, verification, or filing of information.
  • Generate data queries, based on validation checks or errors and omissions identified during data entry, to resolve identified problems.
  • Develop project-specific data management plans that address areas such as coding, reporting, or transfer of data, database locks, and work flow processes.
  • Monitor work productivity or quality to ensure compliance with standard operating procedures.
  • Prepare appropriate formatting to data sets as requested.
  • Design forms for receiving, processing, or tracking data.
  • Prepare data analysis listings and activity, performance, or progress reports.

A selection of source-listed tasks; duties vary by role and employer.

Interests involved in this work

These source scores describe occupational work activities. They are separate from your personal test results.

Hands-on

2026-02 · Machine Learning/Expert

1.3 / 7

Investigative

2026-02 · Machine Learning/Expert

5.7 / 7

Creative

2026-02 · Machine Learning/Expert

1.3 / 7

Helping people

2026-02 · Machine Learning/Expert

2.8 / 7

Enterprising

2026-02 · Machine Learning/Expert

3.3 / 7

Organizing

2026-02 · Machine Learning/Expert

6.6 / 7

Skills to explore

Source-reported importance on a 1–5 scale. Try a course, project or conversation to learn what these skills involve.

Critical Thinking

Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems.

2016-07

4.0 / 5

Active Listening

Giving full attention to what other people are saying, taking time to understand the points being made, asking questions as appropriate, and not interrupting at inappropriate times.

2016-07

3.9 / 5

Speaking

Talking to others to convey information effectively.

2016-07

3.9 / 5

Reading Comprehension

Understanding written sentences and paragraphs in work-related documents.

2016-07

3.9 / 5

Writing

Communicating effectively in writing as appropriate for the needs of the audience.

2016-07

3.8 / 5

Monitoring

Monitoring/Assessing performance of yourself, other individuals, or organizations to make improvements or take corrective action.

2016-07

3.6 / 5

Active Learning

Understanding the implications of new information for both current and future problem-solving and decision-making.

2016-07

3.6 / 5

Complex Problem Solving

Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions.

2016-07

3.5 / 5

Mathematics

Using mathematics to solve problems.

2016-07

3.5 / 5

Time Management

Managing one's own time and the time of others.

2016-07

3.4 / 5

Plan a small next step

Talk to someone doing this work, look for a supervised activity, and explore the subjects that interest you. Admission, licensing and current program requirements should be confirmed with the relevant institutions.

Source preparation category: Job Zone 4 of 5 · 2016-07. This category describes typical preparation, not your eligibility.

Related study fields

Source crosswalk connections are research leads, not required qualifications.

Artificial Intelligence →

Information Technology →

Computer Science →

Data Modeling/Warehousing and Database Administration →

Modeling, Virtual Environments and Simulation →

Bioinformatics →

Computational Biology →

Biomathematics, Bioinformatics, and Computational Biology, Other →

Mathematics, General →

Applied Mathematics, General →

Computational Mathematics →

Computational and Applied Mathematics →

Explore all related study fields →

Source & methodology

O*NET-SOC code 15-2051.02 · Database 31.0 · Retrieved Oct 14, 2026. Dates on individual observations describe their source periods.

How interest exploration matching works →

Data: O*NET® 31.0 Database, U.S. Department of Labor, Employment and Training Administration. Used under CC BY 4.0. StudyIndex normalizes the presentation and adds exploration features; USDOL/ETA has not approved, endorsed or tested these additions.