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Clinical Data Manager Jobs in Connecticut (NOW HIRING)

Deloitte

Clinical Data AMS Sr. Consultant

Hartford, CT · On-site

Manage configuration, patching, upgrades, and troubleshooting for Axway Secure Transport (ST), ensuring secure, reliable file transfer for clinical data exchange with CROs, labs, and regulatory ...

Milliman

Strategic Data Partnership Manager

Windsor, CT · Remote

Manage relationships with current data and technology partners -- ensuring they remain productive ... Assess gaps in our data offerings (SDoH, clinical depth, novel real-world sources, etc.), evaluate ...

Medix™

Data Coordinator - 257098

New Haven, CT · On-site

Public - Responsibilities The Data Coordinator will provide office with direct clinical and data management support related to the conduct of clinical trials and the collection and reporting of study ...

Deloitte

Senior Manager Data Lead

Stamford, CT · Hybrid

Clinical data exchange and coding standards, including HL7, FHIR, and ICD * Data operations (ie ... Manage day-to-day stakeholder relationships and align technical delivery to business and program ...

Deloitte

Senior Manager Data Lead

Hartford, CT · Hybrid

Clinical data exchange and coding standards, including HL7, FHIR, and ICD * Data operations (ie ... Manage day-to-day stakeholder relationships and align technical delivery to business and program ...

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All JobsClinical Data JobsClinical Data Manager JobsClinical Data Manager Jobs in Connecticut

Clinical Data Manager information

See Connecticut salary details

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$54

$77

How much do clinical data manager jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for clinical data manager in Connecticut is $54.38, according to ZipRecruiter salary data. Most workers in this role earn between $42.98 and $64.71 per hour, depending on experience, location, and employer.

What does a clinical data manager do?

A Clinical Data Manager is responsible for collecting, validating, and managing data from clinical trials to ensure its accuracy, integrity, and compliance with regulatory standards. They design data collection systems, oversee database development, and collaborate with clinical research teams to resolve data discrepancies. By ensuring high-quality data, Clinical Data Managers play a vital role in the success of clinical trials and the development of new medical treatments.

What does a clinical data manager do?

A clinical data manager handles all the data needs of clinical trials for biotechnology and pharmaceutical companies. As a clinical data manager, your responsibilities include the research and storage of data related to clinical trials and programs. Your job duties are to collect, process, and analyze data. You must routinely evaluate your data collection and analysis processes to ensure that results are accurate and valid. You must also ensure that your work is in compliance with ethical research standards and regulations from organizations like the Food and Drug Administration (FDA).

What are the key skills and qualifications needed to thrive as a clinical data manager?

To thrive as a Clinical Data Manager, you need a solid understanding of clinical research processes, data management principles, and a degree in life sciences, computer science, or related fields. Expertise with clinical data management systems (CDMS), electronic data capture (EDC) tools, and familiarity with regulatory standards like CDISC and GCP are typically required. Attention to detail, problem-solving abilities, and effective communication distinguish top performers in this role. These skills ensure accurate, compliant data handling and seamless collaboration across clinical research teams, which are critical for successful clinical trial outcomes.

What are some common challenges clinical data managers face when working on multi-site clinical trials?

Clinical Data Managers often encounter challenges such as ensuring data consistency across different sites, managing large volumes of complex data, and coordinating with site staff to resolve discrepancies. They must also stay up-to-date with regulatory requirements and ensure timely data cleaning and database lock. Effective communication and strong organizational skills are essential to navigate these complexities and maintain high data quality throughout the study.

How much do clinical data managers make in the US?

Clinical data managers in the US typically earn between $70,000 and $110,000 annually, with salaries varying based on experience, education, and location. Entry-level positions may start around $60,000, while experienced professionals with specialized skills can earn over $120,000. Certifications in data management and proficiency with electronic data capture systems can also influence salary levels.
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Clinical Data Manager jobs near you
Infographic showing various Clinical Data Manager job openings in Connecticut as of August 2026, with employment types broken down into 84% Full Time, 11% Part Time, 2% Temporary, and 3% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $113,116 per year, or $54.4 per hour.

Technical Clinical Data Manager /Data Analyst (Remote)

Penfield Search Partners

Fairfield, CT • Remote

Full-time

Re-posted 15 hours ago

Job description

Contact: Neisha Camacho/Terra Parsons - 
No 3rd party candidates

We are partnering with a growing biotech organization seeking a Clinical Data Manager/Data Analyst to support ongoing and upcoming clinical programs across multiple therapeutic areas.

This role will sit within a highly collaborative clinical development team and is ideal for a hands-on, analytical Clinical Data Manager who enjoys digging into the data, identifying trends or issues proactively, and developing creative solutions to improve data quality and study execution. The client is seeking someone resourceful and technically curious — not just process-oriented — with the ability to independently explore datasets, generate meaningful reports, and surface potential issues early.

The ideal candidate will bring a blend of traditional clinical data management expertise along with strong data review, querying, and analytical skills. Experience with R, SQL, SAS, or other data interrogation and reporting tools is highly desirable.

Key Responsibilities

  • Support clinical data management activities across studies from start-up through database lock
  • Perform hands-on data review and exploratory analysis to identify data trends, inconsistencies, missing data patterns, and potential study risks
  • Develop custom reports, listings, and data visualizations to support proactive data cleaning and study oversight
  • Utilize R, SQL, SAS, or similar tools to query, analyze, and troubleshoot clinical datasets
  • Partner with CROs and vendors to ensure high-quality, timely data delivery
  • Collaborate cross-functionally with Clinical Operations, Biostatistics, Statistical Programming, Medical, and Safety teams on data review strategies and issue resolution
  • Contribute to development and review of key deliverables including:
    • Data Management Plans (DMPs)
    • eCRF design and completion guidelines
    • Edit checks and query logic
    • User Acceptance Testing (UAT)
    • Data review plans and cleaning processes
  • Support ongoing query management and ensure data integrity, consistency, and inspection readiness
  • Assist with implementation of data standards, reporting enhancements, and process improvements
  • Work independently to investigate data anomalies and recommend practical solutions in a fast-paced biotech environment

Qualifications

  • BS in a scientific, technical, or clinical discipline
  • Approximately 5–8 years of clinical data management experience within biotech, pharma, or CRO environments
  • Strong hands-on experience reviewing and interrogating clinical trial data
  • Experience using R, SQL, SAS, or other querying/reporting tools to analyze clinical data and generate custom reports
  • Experience with EDC systems such as Medidata Rave, Oracle, or Veeva
  • Working knowledge of CDISC standards (SDTM/ADaM) and downstream data usage
  • Experience supporting Phase II and/or III clinical trials; CNS experience is a plus
  • Exposure to CRO/vendor oversight
  • Understanding of clinical data structures and dictionaries including MedDRA and WHODrug
  • Strong critical thinking and problem-solving skills with the ability to work independently
  • Resourceful, proactive, detail-oriented, and comfortable operating in a dynamic biotech environment
  • Strong communication and cross-functional collaboration skills