ZipRecruiter

Log In

1

Associate Clinical Data Analyst Jobs in Connecticut

Medix

Data Analyst

New Haven, CT · On-site

$50 - $70/hr

Interface directly with clinical and operational leadership to elicit core requirements, conduct ... analyzing healthcare data, claims, and Electronic Medical Record (EMR) systems like Epic (Clarity ...

CooperCompanies

Senior Data Analyst

Trumbull, CT · On-site

$84K - $106K/yr

We currently offer over 600 clinically relevant medical devices to healthcare providers, including ... As a Sr. Data Analyst you will own the integrity, usability and structure of customer data ...

CooperCompanies

Senior Data Analyst

Trumbull, CT · On-site

$84K - $106K/yr

We currently offer over 600 clinically relevant medical devices to healthcare providers, including ... As a Sr. Data Analyst you will own the integrity, usability and structure of customer data ...

Cooper Companies

Senior Data Analyst

Trumbull, CT

$84K - $106K/yr

We currently offer over 600 clinically relevant medical devices to healthcare providers, including ... Proficiency in analyzing operational workflows and systems to support data analytics to make ...

next page

Showing results 1-20

All JobsAssociate Clinical Data Analyst JobsAssociate Clinical Data Analyst Jobs in Connecticut

Associate Clinical Data Analyst information

See Connecticut salary details

$12

$37

$68

How much do associate clinical data analyst jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for associate clinical data analyst in Connecticut is $37.12, according to ZipRecruiter salary data. Most workers in this role earn between $27.50 and $45.84 per hour, depending on experience, location, and employer.

What does an associate clinical data analyst do?

An Associate Clinical Data Analyst is responsible for collecting, managing, and analyzing clinical trial data to ensure its accuracy, integrity, and compliance with regulatory standards. They typically work closely with clinical research teams to support data entry, data cleaning, and the preparation of reports. Their work is essential in helping organizations make informed decisions about the safety and efficacy of medical treatments, devices, or drugs. This entry-level role often serves as a foundation for more advanced positions in clinical data management or biostatistics.

What are some common challenges faced by associate clinical data analysts when working with clinical trial data?

Associate Clinical Data Analysts often encounter challenges such as managing large volumes of complex clinical trial data, ensuring data accuracy and consistency, and adhering to strict regulatory standards. They may also need to resolve discrepancies found during data cleaning and work collaboratively with clinical research teams to clarify ambiguous data points. Staying organized and maintaining clear communication with colleagues are key to overcoming these challenges and ensuring high-quality data for analysis.

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

To thrive as an Associate Clinical Data Analyst, you need a solid background in life sciences, statistics, or a related field, often supported by a bachelor’s degree. Familiarity with data management systems like EDC (Electronic Data Capture), statistical software such as SAS or R, and regulatory standards is typically required. Attention to detail, analytical thinking, and effective communication are crucial soft skills for interpreting data and collaborating with cross-functional teams. These competencies ensure accurate data analysis, regulatory compliance, and the successful execution of clinical research studies.

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

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

What are popular job titles related to Associate Clinical Data Analyst jobs in Connecticut?

For Associate Clinical Data Analyst jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Associate Clinical Data Analyst jobs in Connecticut look for?

The top searched job categories for Associate Clinical Data Analyst jobs in Connecticut are:

What cities in Connecticut are hiring for Associate Clinical Data Analyst jobs?

Cities in Connecticut with the most Associate Clinical Data Analyst job openings:

Associate Clinical Data Analyst jobs near you
Infographic showing various Associate Clinical Data Analyst job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $77,215 per year, or $37.1 per hour.

Technical Clinical Data Manager /Data Analyst (Remote)

Penfield Search Partners

Fairfield, CT • Remote

Full-time

Posted 21 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