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$34K

$82.6K

$136K

How much do redcap data analyst jobs pay per year?

As of Jun 2, 2026, the average yearly pay for redcap data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Redcap Data Analyst, and why are they important?

To thrive as a Redcap Data Analyst, you need strong analytical skills, experience with data management, and a background in statistics or related fields, often supported by a relevant degree. Proficiency with REDCap software, database query tools like SQL, and familiarity with data visualization or statistical analysis programs such as R or Python are typically required. Attention to detail, problem-solving abilities, and effective communication are essential soft skills for interpreting data and collaborating with research teams. These competencies ensure accurate data collection and analysis, supporting reliable research outcomes and informed decision-making.

How does a Redcap Data Analyst typically collaborate with research teams during a clinical study?

A Redcap Data Analyst works closely with research coordinators, principal investigators, and biostatisticians to design, implement, and manage data collection instruments within the REDCap platform. They provide technical guidance on data structure, ensure data integrity, and troubleshoot issues as they arise. Regular meetings and clear communication are essential, as analysts translate research needs into database solutions and help interpret data outputs for accurate reporting. This collaborative environment supports high-quality research and facilitates smooth project workflows.

What is a Redcap Data Analyst?

A Redcap Data Analyst is a professional who specializes in managing, analyzing, and reporting data collected using the REDCap (Research Electronic Data Capture) platform. They are responsible for designing data collection instruments, ensuring data quality, and performing statistical analyses to support research projects. Redcap Data Analysts often collaborate with researchers, clinicians, and IT teams to streamline data workflows and provide actionable insights from research data. Their expertise ensures that data is accurately captured, securely stored, and effectively analyzed for research purposes.

What is the difference between Redcap Data Analyst vs Clinical Data Coordinator?

AspectRedcap Data AnalystClinical Data Coordinator
Required CredentialsBachelor's in health informatics, data science, or related field; experience with REDCapBachelor's in health sciences, nursing, or related; experience with clinical data management
Work EnvironmentResearch institutions, healthcare organizations, academic settingsHospitals, clinics, research sites
Employer & Industry UsagePrimarily research-focused, data analysis, database managementClinical trial support, patient data management, regulatory compliance

Both roles involve managing health data, often using REDCap, but the Redcap Data Analyst focuses more on data analysis and reporting, while the Clinical Data Coordinator handles data collection and quality in clinical settings.

More about Redcap Data Analyst jobs
What cities are hiring for Redcap Data Analyst jobs? Cities with the most Redcap Data Analyst job openings:
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Redcap Data Analyst jobs near you
Infographic showing various Redcap Data Analyst job openings in the United States as of May 2026, with employment types broken down into 7% As Needed, 85% Full Time, 5% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Senior Data Analyst: Epigenetics (Indianapolis)

Senior Data Analyst: Epigenetics (Indianapolis)

Purdue University

Indianapolis, IN • Hybrid

$82.20K - $103.70K/yr

Other

Posted 7 days ago

Purdue University rating

7.5

Company rating: 7.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

263rd of 531 rated colleges and universities

Job description

Req Id: 41698
Job Title: Senior Data Analyst: Epigenetics (Indianapolis)
City: Indianapolis
Job Description:
Job Summary
Are you looking to be part of something big? Radical innovations begin with small, impactful steps. Take your next step with the Dunn Lab, the distinguished team of Dr. Erin C. Dunn, as we prepare for our next giant leap: discovering the causes of mental illness and creating roadmaps for prevention. Learn more about the Dunn Lab and Purdue University in Indianapolis.
The Senior Data Analyst will be responsible for projects focusing on computational genetic and epigenetic analyses working on a multi-disciplinary team under the direct supervision of principal investigator Dr. Dunn. The Senior Data Analyst will work with multiple types of data, especially longitudinal survey and biological data from large birth cohort studies. A successful candidate will have experience in working with post-doctoral fellows in a mentoring capacity to drive computational analyses.
The successful candidate will be able to contribute to innovative projects to identify risk and protective factors linked to depression. Our overarching goal is to identify possible sensitive periods in development, or life stages when the brain is highly plastic and experience, including stress exposure, can impart more enduring effects on risk for depression.
Responsibilities Include:

  • Responsible for data management and statistical analysis for new and ongoing studies, including but not limited to developing and applying regression-based analyses of epidemiologic and epigenetic data.
  • Guide other lab members in designing data analytic plans and computational pipelines.
  • Maintains standard operating procedures for data management on a high-powered computing cluster.
  • Collaborate on the preparation of grant applications, manuscripts, and presentations.
  • Present analyses and results to collaborators and in academic papers using tables and figures.
  • Leads R code reviews and data validation efforts
  • Mentors and troubleshoots other lab members in coding (in R programming language)
This position is located in Indianapolis at the Purdue University in Indianapolis location. Hybrid options may be available.
What We're Looking For:
Education and Experience:
  • Bachelor's Degree.
  • Four years of data analysis experience.
  • Strong knowledge of R (e.g., tidyverse, mice, ggplot) and omics data analysis pipelines.
  • Prior experience in academic research including cluster computing, longitudinal studies, biological/epidemiological modeling,
Preferred:
  • MA/MS.
Skills Needed:
  • Understanding of data management
  • Ability to clean data, including derived variable and metadata creation and management.
  • Experience working with longitudinal omics-related data.
  • Ability to create detailed data analysis plans and pipelines.
  • Proven ability to learn new computational and statistical techniques.
  • Excellent written and verbal communications skills.
  • Ability to handle multiple projects simultaneously.
  • Ability to work independently and as part of a team.
  • Ability to interpret acceptability of data.
  • High degree of computer literacy.
  • Careful attention to detail.
  • Good organizational skills.
  • Ability to identify problems and develop solutions.
  • Ability to create presentation-ready tables and figures.
  • Advanced knowledge of statistical and epidemiological study design.
  • Understanding of Redcap or other clinical database management systems
Additional Information:
  • For full consideration, please include a cover letter and resume with your application materials.
  • Purdue University will not sponsor employment authorization for this position
  • A background check will be required for employment in this position
  • FLSA: Exempt (Not Eligible for Overtime)
  • Retirement Eligibility: Defined Contribution Waiting Period

Purdue University is an EO/EA University.
Career Stream
Professional 3
Pay Band S070
Job Code #20002211

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