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Remote Clinical Data Management Jobs in Connecticut

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How much do remote clinical data management jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for remote clinical data management 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 is remote clinical data management?

Remote clinical data management involves overseeing and maintaining the accuracy, integrity, and security of clinical trial data from a location outside of a traditional office or clinical site. Professionals in this field use digital tools and software to collect, validate, and analyze data gathered during clinical studies, ensuring regulatory compliance and high data quality. This role is essential for supporting drug development and medical research, and typically requires strong attention to detail, knowledge of data management systems, and understanding of clinical trial processes.

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

To thrive as a Remote Clinical Data Manager, you need expertise in clinical data standards, database management, and regulatory compliance, typically supported by a degree in life sciences or a related field. Familiarity with electronic data capture (EDC) systems, clinical trial management systems (CTMS), and certifications such as CDM (Certified Clinical Data Manager) are highly valuable. Strong attention to detail, analytical thinking, and effective communication are crucial soft skills for managing data integrity and collaborating with cross-functional teams remotely. These skills ensure accurate, compliant data collection and reporting, which are vital for successful clinical trials and regulatory submissions.

What are some common challenges faced when managing clinical data remotely, and how can they be addressed?

Remote Clinical Data Management professionals often encounter challenges such as ensuring data integrity, maintaining secure access to sensitive information, and staying aligned with team workflows despite geographic separation. To address these issues, it's important to leverage validated electronic data capture (EDC) systems, follow strict data security protocols, and participate in regular virtual meetings for clear communication. Building strong relationships with cross-functional teams and staying proactive about regulatory updates also contribute to overcoming these remote work challenges.

What are the most commonly searched types of Clinical Data Management jobs in Connecticut?

The most popular types of Clinical Data Management jobs in Connecticut are:

What are popular job titles related to Remote Clinical Data Management jobs in Connecticut?

For Remote Clinical Data Management jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Remote Clinical Data Management jobs in Connecticut look for?

The top searched job categories for Remote Clinical Data Management jobs in Connecticut are:

What cities in Connecticut are hiring for Remote Clinical Data Management jobs?

Cities in Connecticut with the most Remote Clinical Data Management job openings:

Remote Clinical Data Management jobs near you
Infographic showing various Remote Clinical Data Management job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 2% Temporary, and 4% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $113,116 per year, or $54.4 per hour.

Technical Clinical Data Manager /Data Analyst (Remote)

Fairfield, CT • Remote

Penfield Search Partners
Recruiting and Staffing Services • 11 - 50 employees
Learn more about Penfield Search Partnersexternal

Full-time

Posted 26 days ago

Job description

Job Description Contact: Neisha Camacho/Terra Parsons - teamnt@penfieldsearch.com 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.

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