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Remote Clinical Data Analyst Jobs in Raleigh, NC

IQVIA

Lead Clinical Data Manager (Remote)

Durham, NC · Remote

$68K - $217K/yr

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data management for complex, global clinical trials from study setup to database lock. * Serve as the main ...

IQVIA

Lead Clinical Data Manager (Remote)

Raleigh, NC · Remote

$68K - $217K/yr

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data management for complex, global clinical trials from study setup to database lock. * Serve as the main ...

Adecco

Clinical Other

Cary, NC · Remote

$25/hr

Adecco Healthcare & Life Sciences is seeking a detail-driven Clinical Specialist to join a fast-paced, remote clinical support team. If you have a strong eye for accuracy, enjoy working with data ...

Serigor, Inc.

EHR Support Specialist (Remote)

Raleigh, NC · On-site +1

EHR Support Specialist (Remote) Location: Raleigh, NC Duration: 12 Months with possible extension ... Review clinical data sent by providers for completeness, correctness, timeliness, and conformance ...

New

COMPASS Pathways

HEOR Science Liaison

Raleigh, NC · On-site +1

$63K - $85K/yr

Location: Remote in the United States. Reports to: Director, HEOR. Roles and responsibilities ... clinical data, real-world evidence, pharmacoeconomic models, budget impact analyses, and patient ...

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All JobsRemote Clinical Data Analyst JobsRemote Clinical Data Analyst Jobs in Raleigh, NC

Remote Clinical Data Analyst information

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

As of Jul 4, 2026, the average hourly pay for remote clinical data analyst in Raleigh, NC is $35.34, according to ZipRecruiter salary data. Most workers in this role earn between $28.51 and $40.91 per hour, depending on experience, location, and employer.

What is a Remote Clinical Data Analyst?

A Remote Clinical Data Analyst is a professional who collects, processes, and analyzes clinical research data from a remote location, rather than working on-site. They ensure the accuracy, integrity, and security of clinical trial or healthcare data, often working with databases and statistical software. These analysts play a crucial role in supporting medical research, regulatory compliance, and data-driven decision-making in healthcare organizations. Their work helps improve patient outcomes, streamline clinical operations, and uphold data quality standards, all while collaborating virtually with research teams.

What are the key skills and qualifications needed to thrive as a Remote Clinical Data Analyst, and why are they important?

To thrive as a Remote Clinical Data Analyst, you need a strong background in data analysis, biostatistics, and clinical research, often supported by a degree in life sciences, statistics, or a related field. Familiarity with statistical software (such as SAS, R, or Python), electronic data capture (EDC) systems, and regulatory compliance (like GCP) is essential. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for interpreting complex data and collaborating with cross-functional teams. These skills and qualities ensure high-quality, compliant data analysis, directly impacting clinical trial outcomes and regulatory submissions.

What Does a Remote Clinical Data Analyst Do?

A remote clinical data analyst works from home to analyze and manage the data for research and clinical trials. Your duties in this career include accessing the data that researchers collect during a trial and ensuring that it is secure and that researchers record all necessary and relevant information during their tests and experiments. Your responsibilities include ensuring that the documentation meets all the required regulations. You report your findings to trial stakeholders online or in person, and you often offer data collection guidance to researchers. This means that cooperation and communication play a major role in this career.

How do Remote Clinical Data Analysts typically collaborate with clinical research teams despite working off-site?

Remote Clinical Data Analysts frequently collaborate with clinical research teams using digital communication tools such as video conferencing, secure messaging platforms, and shared databases. They participate in regular virtual meetings, review data submissions, and coordinate with site coordinators, statisticians, and data managers to ensure data integrity and resolve discrepancies. Building strong communication skills and being proactive in status updates are essential for maintaining seamless workflow and supporting the team's goals, even from a distance.
More about Remote Clinical Data Analyst jobs
What are the most commonly searched types of Clinical Data Analyst jobs in Raleigh, NC? The most popular types of Clinical Data Analyst jobs in Raleigh, NC are:
What are popular job titles related to Remote Clinical Data Analyst jobs in Raleigh, NC? For Remote Clinical Data Analyst jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Clinical Data Analyst jobs in Raleigh, NC look for? The top searched job categories for Remote Clinical Data Analyst jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Clinical Data Analyst jobs? Cities near Raleigh, NC with the most Remote Clinical Data Analyst job openings:
Remote Clinical Data Analyst jobs near you
Infographic showing various Remote Clinical Data Analyst job openings in Raleigh, NC as of June 2026, with employment types broken down into 1% As Needed, 95% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $73,509 per year, or $35.3 per hour.
Clinical Data Scientist (Data Analyst Level 3 - Digital Measures)

Clinical Data Scientist (Data Analyst Level 3 - Digital Measures)

Alphanumeric Systems Inc.

Durham, NC • Remote

$80 - $97/hr

Contractor

Posted 4 days ago

Job description

Clinical Data Scientist (Data Analyst Level 3 - Digital Measures)

Research Triangle Park, NC (Hybrid)
Alphanumeric is hiring a Clinical Data Scientist - Data Analyst Level 3 (Digital Measures) to support our client, a global pharmaceutical leader we've proudly partnered with for over 20 years. This is an exciting opportunity to work at the intersection of clinical research, data science, and digital health, helping transform wearable and sensor-generated data into meaningful clinical insights that support innovative therapies and improve patient outcomes.

Pay Range: $80.00 - $97.00/hour (W2)
Location: Research Triangle Park, NC area (Hybrid)
Employment Type: W2 Contract
Please Note: No third-party agencies. Sponsorship is not available for this position.
About the Role:
As a Clinical Data Scientist supporting the Digital Measures team, you'll analyze complex clinical and sensor-derived datasets to help validate digital endpoints used in clinical trials. You'll develop reproducible analytical workflows, generate actionable insights, and collaborate with multidisciplinary teams to advance innovative measurement strategies that support drug development.
This role is ideal for someone who enjoys combining clinical data, programming, statistical analysis, and data visualization to solve complex healthcare challenges.

What You'll Do:
  • Prepare, clean, and analyze digital biomarker and sensor-derived datasets for clinical research.
  • Develop reproducible analytical workflows, including data cleaning, transformation, quality control, and documentation.
  • Perform exploratory and statistical analyses to evaluate digital measures, including reliability, sensitivity to change, and other validation metrics.
  • Integrate wearable and sensor data with clinical and patient-reported outcome (PRO) datasets.
  • Create meaningful data visualizations, dashboards, and analytical summaries for scientific and business stakeholders.
  • Document analytical methodologies to support regulatory expectations and internal governance.
  • Partner with Digital Measures, Clinical Study, Data Engineering, and Patient-Centered Outcomes teams to support digital endpoint development.
  • Ensure data integrity, reproducibility, and high-quality analytical deliverables throughout the project lifecycle.
Required Qualifications:
  • Master's, or PhD in Data Science, Statistics, Biostatistics, Computer Science, Biomedical Engineering, or a related quantitative field.
  • Strong experience in data science, analytics, biostatistics, or clinical data analysis.
  • Experience working with longitudinal, clinical, or healthcare datasets
  • Strong programming skills in Python and/or R.
  • Experience creating data visualizations and communicating analytical findings to technical and non-technical audiences.
  • Strong understanding of data quality, reproducible research practices, and documentation standards.
  • Excellent analytical, problem-solving, and collaboration skills.

Preferred Qualifications:
  • Experience with Databricks.
  • Experience working with digital health technologies, wearable devices, or sensor-derived data.
  • Clinical trial or pharmaceutical industry experience.
  • Understanding of digital endpoint development and measurement validation concepts such as reliability, validity, and responsiveness.
  • Familiarity with regulatory expectations related to endpoint development and clinical evidence generation.

What Success Looks Like
In this role, you'll contribute by:
  • Delivering high-quality, analysis-ready datasets on schedule.
  • Building robust, reproducible analytical pipelines.
  • Producing clear, actionable insights that support scientific decision-making.
  • Advancing evidence generation for innovative digital endpoints used in clinical research.

Why Join Alphanumeric?
For more than 20 years, Alphanumeric has partnered with one of the world's leading pharmaceutical organizations to provide exceptional talent supporting groundbreaking research and development. You'll work alongside experts who are shaping the future of medicine while gaining experience with cutting-edge digital health technologies and advanced clinical analytics.
If you're passionate about applying data science to improve patient outcomes and accelerate clinical innovation, we'd love to hear from you. Apply today!