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Redcap Programmer information

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$13

$43

$75

How much do redcap programmer jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for redcap programmer in New York is $43.25, according to ZipRecruiter salary data. Most workers in this role earn between $28.12 and $56.30 per hour, depending on experience, location, and employer.

What is the difference between Redcap Programmer vs Data Analyst?

AspectRedcap ProgrammerData Analyst
CredentialsExperience with REDCap, programming skills (e.g., SQL, R, Python)Degree in statistics, data science, or related field; proficiency in data analysis tools
Work EnvironmentResearch institutions, healthcare, clinical trialsBusiness, healthcare, research, or government sectors
Employer & IndustryResearch organizations, hospitals, universitiesCorporations, healthcare providers, government agencies
Common Search & ComparisonFocuses on REDCap system setup and programmingFocuses on interpreting and visualizing data

While both roles involve working with data, a Redcap Programmer specializes in configuring and programming within the REDCap platform for research data collection, whereas a Data Analyst focuses on analyzing and interpreting data across various tools and platforms. The roles often overlap in healthcare and research settings but differ in technical focus and scope.

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

To thrive as a Redcap Programmer, you need strong programming skills, experience with database management, and a background in health informatics or a related field. Familiarity with REDCap software, SQL, APIs, and relevant certifications in clinical data management or biomedical informatics are typically required. Attention to detail, problem-solving abilities, and effective communication skills set top performers apart in this role. These skills are crucial for ensuring accurate data capture, smooth project implementation, and collaboration with research teams in clinical and academic environments.

What are the typical challenges faced by a REDCap Programmer when supporting research teams?

REDCap Programmers often encounter challenges such as balancing multiple project deadlines, adapting to evolving research protocols, and ensuring data security and compliance with institutional policies. They work closely with researchers to translate study requirements into functional databases and must regularly troubleshoot data collection forms and workflows. Strong communication and problem-solving skills are essential, as they frequently collaborate with both technical and non-technical team members to deliver effective solutions.

What are Redcap Programmers?

Redcap Programmers are professionals who specialize in designing, developing, and maintaining data management solutions using REDCap (Research Electronic Data Capture), a secure web application for building and managing online surveys and databases. They configure forms, automate workflows, develop custom scripts, and ensure data integrity within REDCap projects, often for research or clinical studies. Their role may also include integrating REDCap with other systems, troubleshooting technical issues, and providing user support or training to project teams.
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What job categories do people searching Redcap Programmer jobs in New York look for? The top searched job categories for Redcap Programmer jobs in New York are:
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Redcap Programmer jobs near you
Infographic showing various Redcap Programmer job openings in New York as of June 2026, with employment types broken down into 63% Full Time, 25% Part Time, 9% Temporary, and 3% Nights. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $89,967 per year, or $43.3 per hour.
Senior Health Informatics Analyst

Senior Health Informatics Analyst

Albert Einstein College of Medicine

Bronx, NY

$130K/yr

Other

Posted 10 days ago

Job description

POSITION RESPONSIBILITIES
  • Work with investigators, project sponsors, and technical teams to define project objectives, data requirements, and analytic strategies aligned with institutional research goals.
  • De-identify, code, and manage clinical data in accordance with institutional policies, IRB protocols, and HIPAA regulations.
  • Facilitate secure data extraction, transformation, and delivery for approved research projects data access policies, de-identification standards, and secure data handling practices.
  • Review and validate data requests to ensure alignment with regulatory approvals and data-use agreements.
  • Maintain detailed documentation of data provisioning processes, approvals, and data lineage for audit and compliance purposes.
  • Design, document, and implement research informatics platforms, data pipelines, and infrastructure supporting clinical and translational research use cases.
  • Develop and maintain data workflows involving REDCap, EMR data sources, OMOP and various research data repositories and registries as well as training others on REDCap softwared.
  • Apply informatics principles for data management, governance, interoperability, and quality improvement initiatives.
  • Collaborate with research teams from other organizations and research consortiums
  • Support development of AI and data science solutions, including use of machine learning tools for data extraction, curation, and analysis.
  • Collaborate with institutional and external partners to standardize data models, ontologies, and metadata practices that enhance research reproducibility and data sharing.
  • Collaborate on topics around data quality, knowledge management, information representation and data governance
  • Train and support researchers on research information systems
QUALIFICATIONS

Bachelor's degree in informatics, computer science, data science, public health, or a related field.

3-5 years of experience in healthcare or biomedical research informatics

Proficiency in SQL and relational database design.

Must have experience using REDCap softwared.

Experience working with EMR/clinical databases and research data warehouses.

Experience in data analysis, data mining or analytics

Experience with data management and integration tools such as REDCap, OMOP, or similar research data environments.

Preferred:

Master's degree in informatics, computer science, data science, public health, or a related field.

Experience with AI/ML tools, data science or cloud-based analytics platforms.

Familiarity with terminology systems and standards (e.g., SNOMED CT, LOINC, ICD).

Experience in biomedical research procedures and IT systems implementation.

Project and customer service management experience

Skills:

  • Excellent interpersonal and written communication skills to provide customer service and document user interactions and requirements
  • Strong analytical skills to analyze, categorize and translate business/user requirements to functional requirements
  • Demonstrated ability to take initiatives, establish/enhance business analysis procedures and improve operational efficiency
  • Collaborative mindset and adaptability in a fast-evolving research and technology environment.

Demonstrated commitment to innovation, continuous learning, and improving research data infrastructure.

Salary VerbiageIn compliance with NYC's Pay Transparency Act, the annual base salary range for this position is listed below. Albert Einstein College of Medicine considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer.Minimum Salary RangeUSD $124,000.00/Yr.Maximum Salary RangeUSD $130,000.00/Yr.ABOUT US

As a member of the Health Research Informatics team in the Institute for Clinical and Translational Research (ICTR), the Senior Health Research Informatics Analyst will design, develop, and manage the data infrastructure that supports clinical and translational research across Einstein and Montefiore. The analyst will work closely with investigators, clinicians, data scientists, and IT professionals to ensure that research data systems are robust, scalable, and secure. The Senior Health Informatics Analyst will implement and manage health research information across several applications and data sources such as electronic medical records (EMRs), REDCap, WebCAMP, and the OMOP common data model, to enable analytics use cases and support a range of informatics projects. Responsibilities include formulating project scopes, documenting business requirements, developing data integration and quality monitoring strategies, and leveraging emerging technologies such as AI and data science tools. The successful candidate will demonstrate strong programming skills, critical thinking, and the ability to collaborate with investigators to provide excellent customer service that advances the institution's research mission.

Key contacts include CRIO, HRIC Co-Directors, Manager HRI, all other Research Informatics staff and the ICTR. Additionally, this role will interface with principal investigators and study teams as well as CTSA hubs and other external collaborators, as needed. This position does not directly supervise any personnel.

Employment Type: OTHER

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