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Clinical Data Engineer Jobs in Connecticut (NOW HIRING)

IQVIA

Mgr, Database Management Systems

Hartford, CT · On-site

At least 8 years of clinical database developer experience in Rave with expertise in global library development and development of standard data collection objects. * Strong understanding of the drug ...

Hyperfine

Clinical Scientist

Guilford, CT · On-site

$128K - $147K/yr

PhD or equivalent degree in biomedical engineering, neuroscience, imaging science, or related field * 2-5+ years of experience in clinical research, imaging, or data science in industry setting

Hyperfine

Clinical Scientist

Guilford, CT

$128K - $147K/yr

PhD or equivalent degree in biomedical engineering, neuroscience, imaging science, or related field * 2-5+ years of experience in clinical research, imaging, or data science in industry setting

Hyperfine

Clinical Scientist

Guilford, CT · On-site

$128K - $147K/yr

PhD or equivalent degree in biomedical engineering, neuroscience, imaging science, or related field * 2-5+ years of experience in clinical research, imaging, or data science in industry setting

Spire Orthopedic Partners

BI Engineer

Stamford, CT · On-site

... other clinical providers and 40 locations in New York, Connecticut, Rhode Island and Massachusetts. What you'll do: The Data Engineer will help build and support the data foundation that powers ...

Oxbridge Health

Data Integration Lead

Norwalk, CT · On-site

... Engineering, Operations, Analytics, Clinical, and Machine Learning teams. This is a hands-on technical leadership role combining software engineering, data integration, and partner collaboration ...

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All JobsClinical Data Engineer JobsClinical Data Engineer Jobs in Connecticut

Clinical Data Engineer information

See Connecticut salary details

$42.3K

$123.4K

$168.9K

How much do clinical data engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for clinical data engineer in Connecticut is $123,397.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,900.00 and $130,800.00 per year, depending on experience, location, and employer.

What is the difference between Clinical Data Engineer vs Data Analyst?

AspectClinical Data EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Bioinformatics, or related field; knowledge of databases and programmingBachelor's in Statistics, Mathematics, or related field; proficiency in data visualization and analysis tools
Work EnvironmentHealthcare settings, research institutions, biotech companiesBusiness, healthcare, or research organizations across various industries
Employer & Industry UsageUsed in clinical research, healthcare IT, and pharmaceutical industriesUsed broadly in finance, marketing, healthcare, and other sectors

Clinical Data Engineers focus on building and maintaining data systems specific to clinical and healthcare data, requiring technical skills in databases and programming. Data Analysts interpret data to generate insights, often using visualization tools. While both roles handle data, Clinical Data Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on analysis and reporting.

What is a clinical data engineer?

A Clinical Data Engineer is a professional who designs, develops, and manages systems and processes for collecting, storing, and analyzing clinical trial or healthcare data. They work with large datasets, often using programming and database management skills, to ensure data integrity, quality, and security. Clinical Data Engineers collaborate with clinical researchers, data managers, and IT teams to streamline data workflows and support regulatory compliance. Their work is essential for enabling accurate analysis and reporting in clinical studies and improving healthcare outcomes.

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

To thrive as a Clinical Data Engineer, you need a strong background in data management, database design, and clinical data standards, often supported by degrees in computer science, health informatics, or related fields. Familiarity with tools such as SQL, Python, EDC systems (like Medidata or Oracle Clinical), and certifications in data handling or clinical research are typically required. Attention to detail, analytical thinking, and strong communication skills are essential soft skills for collaborating across clinical and technical teams. These skills ensure accurate data integration, regulatory compliance, and effective support for clinical research and decision-making.

How does a clinical data engineer typically collaborate with clinical research teams during a clinical trial?

Clinical Data Engineers work closely with clinical research teams to ensure that data collected during trials is accurate, secure, and accessible. They often design and maintain data pipelines, troubleshoot data integration issues, and provide technical support to clinical staff. Regular meetings with data managers, biostatisticians, and clinical coordinators help align technical solutions with study protocols and regulatory requirements. This collaborative environment ensures that data-driven insights can be generated efficiently and reliably throughout the study lifecycle.
What are popular job titles related to Clinical Data Engineer jobs in Connecticut? For Clinical Data Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Clinical Data Engineer jobs in Connecticut look for? The top searched job categories for Clinical Data Engineer jobs in Connecticut are:
Clinical Data Engineer jobs near you
Infographic showing various Clinical Data Engineer job openings in Connecticut as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $123,397 per year, or $59.3 per hour.

Technical Clinical Data Manager /Data Analyst (Remote)

Penfield Search Partners

Fairfield, CT • Remote

Full-time

Posted 10 days 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