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Clinical Data Associate Jobs in Trumbull, CT (NOW HIRING)

Healthcare Provider L65 - Associate Vice President, AI and Data Solutions - Data Lead Join our AI ... Clinical data exchange and coding standards, including HL7, FHIR, and ICD * Data operations (ie ...

Clinical Engineering IT Technician

Stamford, CT ยท On-site

$20.25 - $26/hr

Every associate matters and makes a difference It is truly a culture like no other - We hope you ... Verifies proper data flow conditions on the CDI network. Responds to CDI trouble calls pertaining ...

Clinical Lab Assistant

Stamford, CT ยท On-site

$25 - $32/hr

Data Collection & Documentation * Collect and record data from clinical instrument measurements ... In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other ...

Clinical Lab Assistant

Stamford, CT ยท On-site

$25 - $32/hr

Data Collection & Documentation * Collect and record data from clinical instrument measurements ... In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other ...

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Clinical Data Associate information

See Trumbull, CT salary details

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How much do clinical data associate jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for clinical data associate in Trumbull, CT is $38.22, according to ZipRecruiter salary data. Most workers in this role earn between $28.80 and $38.22 per hour, depending on experience, location, and employer.

What does a clinical data associate do?

A Clinical Data Associate is responsible for collecting, validating, and managing clinical trial data to ensure its accuracy, completeness, and compliance with regulatory standards. They work closely with clinical research teams to monitor data quality, resolve discrepancies, and prepare data for analysis. Their work is essential in supporting drug development and regulatory submissions by ensuring reliable and high-quality clinical data.

What does a clinical data associate do?

A clinical data associate is responsible for tracking data and results in a research study. As a clinical data associate, your job duties are to collect data, perform data management, and input data into any software used by your team. You work on a research team, so you must be able to work collaboratively and have excellent organizational skills. While you spend most of your time in an office, you may be required to work in the field to record data. The only universal qualifications needed for this career are a background in health care or medical science research and experience with data management software like Oracle Clinical, Microsoft Excel, and SPSS.

What are the key skills and qualifications needed to thrive as a clinical data associate, and why are they important?

To thrive as a Clinical Data Associate, you need a solid understanding of clinical research, data management principles, and attention to detail, often supported by a degree in life sciences or a related field. Familiarity with clinical data management systems (CDMS), electronic data capture (EDC) tools, and knowledge of regulatory guidelines like GCP or CDISC is typically required. Strong organizational skills, analytical thinking, and clear communication set outstanding candidates apart in this role. These skills ensure the accuracy, integrity, and compliance of clinical trial data, which are crucial for successful research outcomes and regulatory approval.

What are some common challenges faced by clinical data associates when ensuring data quality during clinical trials?

Clinical Data Associates often encounter challenges such as identifying and resolving discrepancies in large datasets, maintaining strict compliance with regulatory standards, and coordinating timely data entry from multiple sites. They must work closely with clinical research teams and data managers to clarify ambiguous data and implement data cleaning procedures. Staying organized and detail-oriented is essential to ensure data accuracy and the successful progression of clinical trials.

What is the difference between Clinical Data Associate vs Clinical Research Coordinator?

AspectClinical Data AssociateClinical Research Coordinator
Primary RoleManage and ensure accuracy of clinical trial dataOversee trial operations, patient recruitment, and site management
CredentialsBachelor's in life sciences or related field; familiarity with data managementBachelor's in health sciences or related field; clinical trial experience
Work EnvironmentData management teams, clinical trial databasesClinical sites, hospitals, research facilities
Industry UsagePharmaceutical companies, CROs, biotech firmsHospitals, research institutions, clinical trial sites

While both roles support clinical trials, a Clinical Data Associate primarily focuses on managing and validating trial data, ensuring accuracy and compliance. In contrast, a Clinical Research Coordinator handles the overall trial operations, including patient recruitment and site coordination. Both roles require relevant certifications and work within the clinical research industry, but their daily responsibilities differ significantly.

What cities near Trumbull, CT are hiring for Clinical Data Associate jobs?

Cities near Trumbull, CT with the most Clinical Data Associate job openings:

Associate Director Clinical Data Standards & Governance

Penfield Search Partners

Fairfield, CT โ€ข On-site

Full-time

Posted 9 days ago


Job description

Job Description Contact: Neisha Camacho/Terra Parsons - teamnt@penfieldsearch.com No 3rd party candidates Position Summary The Associate Director, Clinical Data Standards and Governance is a hands-on subject-matter expert and standards owner who leads the design, implementation, and lifecycle governance of clinical data standards across the enterprise data value chain - from protocol concept and collection through acquisition, tabulation, analysis, and regulatory submission. This role is the technical backbone of the Enterprise Clinical Data Standards & Regulatory Submission Readiness program, translating governance council decisions into concrete, adopted standards content and driving the metadata, controlled terminology, and validation infrastructure that makes those standards usable at study level. The incumbent personally develops and maintains the standards library (CDASH/eCRF, SDTM, ADaM, Define-XML/SDRG/ADRG, controlled terminology) and the governance mechanics that keep it current - version control, change/exception workflows, regulatory surveillance, and compliance metrics - while partnering across CDM, Biostatistics, Statistical Programming, Clinical Operations, Regulatory, Quality, and IT/Data Engineering to ensure standards are consistently authored once and reused everywhere

This is an individual-contributor leadership role: the person in this seat is expected to do the standards work directly, chair or drive technical working groups, and set technical direction, not simply oversee others doing it. The role also carries responsibility for compliance with applicable corporate and divisional policies and procedures, and for maintaining an active, credible presence in the external CDISC standards community. Key Responsibilities Standards Content Ownership Own and maintain the enterprise standards library across all five layers of the data architecture: Collection (CDASH, eCRF library, edit checks), Acquisition (labs, ECG, imaging, eCOA, biomarker, digital health, external transfer specifications), Tabulation (SDTM domains, sponsor conventions, mappings, controlled terminology, Define-XML, cSDRG), and Analysis (ADaM, analysis metadata, ADRG, TLF interfaces).

Maintain a complete and in-depth understanding of all CDISC guidance documents and implementation guides, as well as FDA guidance and regulation on electronic submission of data; keep abreast of industry trends in data mapping, data management, standards compliance methodologies, metadata management, and data warehousing. Author and publish sponsor SDTM/ADaM implementation conventions, controlled terminology mappings, and eCRF/CDASH specifications that are reusable across studies and therapeutic areas. Demonstrate extensive understanding of CDASH and SDTM standards and concepts; critically review eCRF designs to ensure compatibility and conformance with CDASH/SDTM standards, proactively recognizing and correcting design flaws.

Demonstrate extensive understanding of SDTM, controlled terminology, and common coding dictionaries; review SDTM conformance mapping specifications and proactively correct flaws, and provide input and CDISC expertise to cross-functional activities such as mapping of source data to SDTM. Lead impact assessments and version releases when CDISC, regulatory, or internal business requirements change, ensuring controlled, documented rollout with defined effective dates and training. Maintain Define-XML, SDRG, and ADRG templates and conventions to support consistent, submission-ready documentation across the portfolio.

Governance, Process & Compliance Ensure personal and team compliance with all applicable corporate and divisional policies and procedures governing clinical data standards and their implementation. Serve as a core technical member (and, where appropriate, chair) of Tier 3 standards working groups (Collection, External Data, SDTM & Submission, ADaM & Analysis, Technology & Automation), preparing proposals for review by the Clinical Data Standards Governance Council. Operate the standards change-control and exception/deviation workflow end to end: intake, functional SME review, council approval, publication, and study-team implementation.

Maintain the standards charter, governance council terms of reference, SOPs, and work instructions that keep standards mandatory rather than optional guidance, and keep RACI/decision rights current across CDM, Biostats, Programming, Clinical Ops, Regulatory, Quality, and IT. Run regulatory surveillance for evolving CDISC, FDA, and ICH data standards requirements and translate changes into prioritized updates to the standards library. Represent Clinical Data Standards during audits and regulatory inspections; ensure inspection-ready documentation and full traceability from source data to submission.

Technology, Metadata & Automation Own and continuously improve the metadata repository, including release management, version control, lineage/traceability controls, and automated validation rules; manage libraries of CDISC-related metadata, terminology, and related standards within the repository, and provide governance oversight to the Manager, Data Standards to ensure consistency of metadata. Demonstrate knowledge of SDTM/ADaM validation rules and the associated Define.xml requirements; execute standard validation tools and appropriately interpret results, collaborating with other functions to resolve identified issues and ensuring any unresolved issues are appropriately documented (e.g., in the FDA's Data Reviewer's Guides). Partner with IT/Data Engineering and Biometrics to standardize system interoperability across EDC, external data platforms, and downstream tabulation/analysis tools

Drive adoption of automated validation and standards-compliance tooling, and identify AI-enabled use cases (e.g., automated mapping, spec generation, QC) that increase reuse and reduce cycle time. Maintain the standards-compliance dashboard and report enterprise-level adoption, quality, speed, and readiness metrics to program leadership and the Governance Council. Adoption, Enablement & Cross-Functional Partnership Develop and deliver role-based training, study implementation playbooks, and office hours / community-of-practice sessions to drive consistent standards adoption across study teams and CROs

Effectively mentor peers, the Manager, Data Standards, Senior Data Standards Analysts, and Data Standards Analysts on data standards concepts and functional operations; train new Data Standards Analysts on the processes and systems used to manage and implement standards. Define and enforce CRO/vendor data standards requirements; review vendor deliverables (transfer specifications, mapping specs) for conformance. Act as the standards subject-matter expert in cross-functional forums, providing guidance to study teams, Biostatistics, Statistical Programming, and CRO partners on standards interpretation and implementation; diplomatically and persuasively represent the interests of the Data Standards group in cross-functional initiatives.

Capture pilot lessons learned and feed continuous-improvement recommendations back into the standards library and governance processes. External Standards Engagement Maintain an external reputation as a clinical data standards expert and represent the organization in the broader CDISC community. Coordinate consolidated review comments from the Data Standards group and Statistical Programming for applicable CDISC standards released for public review.

Submit at least one abstract per year for presentation at a CDISC Interchange. Success Measures Performance in this role is assessed against enterprise standards KPIs spanning adoption (e.g., studies and vendor transfers on standard), quality (deviations, critical findings, repeat defects), speed (CRF build cycle time, mapping/spec reuse, DB lock-to-submission-ready timeline), and readiness (first-pass QC, traceability completeness, inspection-ready documentation, exception turnaround). Qualifications Bachelor's or Master's degree in Life Sciences, Computer Science, Health Informatics, or a related discipline

10+ years of progressive experience in clinical data management or clinical data standards, with demonstrated ownership of enterprise-level standards content (not solely study-level execution). Deep, hands-on expertise in CDISC standards - CDASH, SDTM, ADaM, controlled terminology - and Define-XML/SDRG/ADRG authoring. Working knowledge of clinical data collection and acquisition technologies (EDC/Rave, RTSM, eCOA, external/vendor data transfers) sufficient to define standards and specifications, though this role is standards-focused rather than systems-administration-focused.

Experience building or operating a metadata repository, standards library, or comparable governance infrastructure, including version control and validation frameworks. Demonstrated experience authoring SOPs, work instructions, and governance charters, and operating change-control or exception workflows in a regulated environment. Solid understanding of GCP, ICH, 21 CFR Part 11, and global regulatory expectations as they relate to data standards, traceability, and submission readiness (NDA, BLA, MAA).

Proven ability to lead or contribute to cross-functional governance bodies and technical working groups, influencing without direct authority across CDM, Biostatistics, Programming, Clinical Operations, Regulatory, Quality, and IT. Strong written and verbal communication skills, with experience producing governance documentation, training materials, and dashboards for varied audiences up to senior leadership. Comfort operating as an individual-contributor expert who personally produces standards deliverables, balanced with the leadership presence to drive adoption across.