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Remote Edc Programmer Jobs in Texas (NOW HIRING)

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Remote Edc Programmer information

What is the difference between Remote Edc Programmer vs Remote Clinical Data Coordinator?

AspectRemote Edc ProgrammerRemote Clinical Data Coordinator
Required CredentialsTypically requires a degree in computer science, life sciences, or related field; proficiency in EDC systemsUsually requires a degree in health sciences, life sciences, or related; knowledge of clinical data management
Work EnvironmentPrimarily focused on programming and system setup within clinical trialsOversees data collection, entry, and quality control in clinical studies
Employer & Industry UsagePharmaceutical companies, CROs, biotech firmsPharmaceutical companies, CROs, research institutions

The Remote Edc Programmer primarily focuses on designing and programming electronic data capture systems for clinical trials, requiring technical programming skills. In contrast, the Remote Clinical Data Coordinator manages data collection and quality assurance processes. Both roles are essential in clinical research but differ in technical focus and daily responsibilities.

What is a Remote EDC Programmer?

A Remote EDC Programmer is a professional who designs, develops, and manages Electronic Data Capture (EDC) systems for clinical trials or research studies, working from a remote location. They are responsible for programming databases, building electronic case report forms (eCRFs), and ensuring that data collection processes meet regulatory and quality standards. EDC Programmers collaborate with clinical teams to customize systems according to study protocols and troubleshoot technical issues to ensure smooth data collection and management. Their remote role allows them to work with organizations and clients globally, leveraging secure communication and data tools.

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

To thrive as a Remote EDC (Electronic Data Capture) Programmer, you need a solid background in clinical data management, database design, and programming languages such as SQL, often supported by a degree in computer science or a related field. Familiarity with EDC systems like Medidata Rave, Oracle InForm, and knowledge of relevant regulatory standards (e.g., CDISC, FDA 21 CFR Part 11) are typically required. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for collaborating remotely with cross-functional clinical teams. These skills ensure accurate data capture, regulatory compliance, and efficient study execution in clinical trials.

What are some common challenges Remote EDC Programmers face when collaborating with cross-functional teams, and how can they overcome them?

Remote EDC Programmers often work closely with data managers, clinical trial coordinators, and statisticians, which can present challenges such as time zone differences, communication barriers, and varying technical expertise. Overcoming these challenges typically involves using clear documentation, regular virtual check-ins, and collaborative platforms to ensure alignment on project goals and timelines. Building strong relationships with team members and proactively addressing issues can also help ensure smooth collaboration and successful study database development.
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Remote Edc Programmer jobs near you
Infographic showing various Remote Edc Programmer job openings in Texas as of July 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% Remote job distribution.
Business Analyst (US Citizens)

Business Analyst (US Citizens)

PROLIM Global Corporation

Austin, TX • On-site, Remote

Full-time

Posted yesterday

New

Job description

Prolim is hiring for a Business Analyst (US Citizens) for a Leading client.
Contract: Long term
Remote- Program will allow candidates who are within the state (Any location within the State of Texas)
I. DESCRIPTION OF SERVICES
The Worker will serve as a senior Metadata Ingestion Analyst and a critical liaison between technical IT and non-technical program staff working with complex technical data sources across the Health and Human Services (HHS) departments and agencies. This role empowers HHS staff to effectively determine business and technical glossary definitions for developing agency reporting and strategic decision-making. The ideal candidate has strong analytical skills, a deep understanding of HHS programs and data, strong history of metadata acquisition, analysis and enrichment, with exceptional communication abilities to bridge the gap between technical data systems and operational users in the emerging context of AI.
Responsibilities
• Strategic Liaison and Translation
o Work with program areas, project sponsor and system SMEs to connect EIM cataloging and lineage systems to source systems in IT.
o Automate regular collection and updates to agency metadata for high value data assets.
o Explain technical findings and data limitations in simple, non-technical language to end-users.
• Data Reporting and Visualization
o Extract, integrate, and analyze metadata from multiple complex internal and external sources to support HHS program needs.
o Collaborate with end-users and performance analysts or IT internal leaders to create visualizations for enrichment progress and official reporting.
o Provide subject matter expertise on validating output from AI, particularly with respect to identifying and mitigating hallucinations.
o Ensure all data outputs adhere to agency reporting standards, data governance, and compliance regulations.
• Data Literacy and Training
o Champion data glossary literacy across the organization by developing and conducting training sessions for non-technical staff.
o Create clear, comprehensive documentation and tutorials on using glossary tools for data synthesis.
o Promote a data-driven culture by enabling and empowering all employees to effectively utilize metadata and AI.
• Collaboration and Problem-Solving
o Work closely with data engineering, IT, and Program teams to troubleshoot metadata-related issues and address inconsistencies and mitigation strategies.
o Provide expert guidance to program staff on interpreting data trends and answering complex data questions.
o Stay up to date on new AI and metadata analysis tools and techniques to continuously improve data glossaries, data quality and reporting.
• AI Prompting and Data Synthesis
o Develop and refine effective AI prompts and query strategies to retrieve and synthesize metadata accurately from complex data domains.
o Guide non-technical users in crafting precise prompts to get the glossary data they need, ensuring fidelity and accuracy.
o Develop a library of standardized prompts and query templates for common reporting needs.
II. CANDIDATE SKILLS AND QUALIFICATIONS
Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.
Years
Required/Preferred
Experience
8
Required
Experience gathering business requirements and translating complex metadata acquisitions and operational requirements into clear, actionable access paths for data glossaries for complex analytics
8
Required
Experience explaining technical findings and data limitations in simple, non-technical language to end-users and leadership.
8
Required
Experience in a complex data analysis, senior business/systems analyst, and/or data liaison role.
8
Required
Strong experience with SQL for data extraction, manipulation and enrichment.
8
Required
Experience collaborating with end-users and performance analysts or IT internal leaders to create and validate glossaries for analytics development and business data lineage analysis.
8
Required
Excellent communication, presentation, and interpersonal skills.
5
Preferred
Experience with Business Intelligence/Data Warehouse
5
Preferred
Experience acting as the primary point of contact for program staff with metadata/glossary needs for analytics projects
5
Preferred
Experience working in a health and human services or similarly regulated environment, with a strong understanding of agency metadata requirements.
5
Preferred
Experience with data governance and data quality principles
5
Preferred
Experience with data glossary tools such as Informatica Enterprise Data Catalog (EDC and Axon Data Governance.
2
Preferred
Experience championing data literacy across the organization
2
Preferred
Experience training and mentoring staff with varying levels of data literacy.
1
Preferred
Experience with AI prompt development

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