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Freelance Epidemiology Data Analyst Jobs in Ridgefield, CT

... analysis, regulatory submission reviews, and observational study assessments ... Source, construct, and curate authentic datasets including trial data, patient records, and ...

Biostatistician

Stamford, CT · Remote

$60 - $100/hr

... analysis, regulatory submission reviews, and observational study assessments ... Source, construct, and curate authentic datasets including trial data, patient records, and ...

... analysis, regulatory submission reviews, and observational study assessments ... Source, construct, and curate authentic datasets including trial data, patient records, and ...

Biostatistician

New Haven, CT · Remote

$60 - $100/hr

... analysis, regulatory submission reviews, and observational study assessments ... Source, construct, and curate authentic datasets including trial data, patient records, and ...

... analysis, regulatory submission reviews, and observational study assessments ... Source, construct, and curate authentic datasets including trial data, patient records, and ...

Biostatistician

Bridgeport, CT · Remote

$60 - $100/hr

... analysis, regulatory submission reviews, and observational study assessments ... Source, construct, and curate authentic datasets including trial data, patient records, and ...

Showing results 21-40

Freelance Epidemiology Data Analyst information

See Ridgefield, CT salary details

$20

$48

$71

How much do freelance epidemiology data analyst jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for freelance epidemiology data analyst in Ridgefield, CT is $48.24, according to ZipRecruiter salary data. Most workers in this role earn between $34.47 and $60.10 per hour, depending on experience, location, and employer.

What is a freelance epidemiology data analyst?

A Freelance Epidemiology Data Analyst is an independent professional who specializes in analyzing health-related data to identify trends, patterns, and causes of diseases within populations. They often work on a contract basis for public health organizations, research institutions, or private companies, using statistical tools and software to interpret complex datasets. Their work helps inform public health policies, disease prevention strategies, and research studies. Being freelance, they typically manage their own schedules and may work with multiple clients on diverse projects.

What are the key skills and qualifications needed to thrive as a freelance epidemiology data analyst, and why are they important?

To thrive as a Freelance Epidemiology Data Analyst, you need expertise in epidemiological methods, statistical analysis, and a strong background in public health or a related field, often supported by a relevant degree. Proficiency with statistical software such as R, SAS, or Python, and experience using data visualization tools and databases, is typically required. Strong attention to detail, effective communication, and the ability to work independently are crucial soft skills in this role. These skills are vital for delivering accurate analyses, clear insights, and reliable results to clients in various public health contexts.

How does a freelance epidemiology data analyst typically collaborate with clients and multidisciplinary teams?

As a Freelance Epidemiology Data Analyst, you will often work remotely with clients such as public health organizations, research institutions, or healthcare companies. Collaboration usually involves regular virtual meetings to clarify project objectives, share data requirements, and discuss analytical findings. You may also coordinate with epidemiologists, statisticians, and IT professionals to ensure data quality and interpret results. Strong communication skills and the ability to present complex findings in a clear, actionable manner are essential for successful collaboration.

What is the difference between Freelance Epidemiology Data Analyst vs Epidemiologist?

AspectFreelance Epidemiology Data AnalystEpidemiologist
CredentialsBachelor's or Master's in Epidemiology, Public Health, or related fieldsMaster's or Doctorate in Epidemiology or Public Health
Work EnvironmentIndependent, project-based, remote or contract workResearch institutions, government agencies, healthcare organizations
Employer & IndustryClients across various sectors, including research firms and NGOsPublic health agencies, universities, hospitals
Work FocusData analysis, statistical modeling, report preparationResearch, disease investigation, policy development

The main difference is that Freelance Epidemiology Data Analysts focus on data analysis tasks on a project basis, often working independently for multiple clients. In contrast, Epidemiologists typically engage in research, disease tracking, and policy work within organizations or institutions. Both roles require strong analytical skills and relevant credentials, but their work settings and responsibilities differ significantly.

What are popular job titles related to Freelance Epidemiology Data Analyst jobs in Ridgefield, CT?

For Freelance Epidemiology Data Analyst jobs in Ridgefield, CT, the most frequently searched job titles are:

What job categories do people searching Freelance Epidemiology Data Analyst jobs in Ridgefield, CT look for?

The top searched job categories for Freelance Epidemiology Data Analyst jobs in Ridgefield, CT are:

What cities near Ridgefield, CT are hiring for Freelance Epidemiology Data Analyst jobs?

Cities near Ridgefield, CT with the most Freelance Epidemiology Data Analyst job openings:

Infographic showing various Freelance Epidemiology Data Analyst job openings in Ridgefield, CT as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $100,332 per year, or $48.2 per hour.

Principal Biostatistician - Medical Affairs (Remote)

Penfield Search Partners

Fairfield, CT • On-site, Remote

Full-time

Posted 28 days ago


Job description

We are partnering with a leading biopharmaceutical client seeking an experienced Principal Biostatistician to support its Medical Affairs Statistics, Epidemiology, and Real-World Evidence (RWE) organization. This individual will perform and validate statistical analyses in support of Medical Affairs initiatives while providing oversight of statistical and programming work conducted by external vendors as needed.

The Principal Biostatistician will collaborate closely with cross-functional Medical Affairs stakeholders on evidence-generation activities, including those incorporating real-world data and evidence. The role will provide statistical guidance on clinical and lifecycle management initiatives, advise on analytical strategies, and recommend appropriate methodological approaches to support integrated evidence generation and informed decision-making.

Essential Functions

  • Work collaboratively with other members of the Medical Affairs team to develop and provide scientifically sound analyses that answer questions to support and enhance publications and knowledge of company products.
  • Contribute to publication objectives including timelines, statistical and analytical requirements for publications and projects.
  • Develop, design, and oversee or perform post-hoc analyses of existing databases and meta-analyses as needed and appropriate
  • Support clinical development biostatistics with exploratory analyses necessary for submissions and regulatory queries.
  • Review publications, marketing materials, and education and training materials that contain clinical data and product claims
  • Stay informed with data being generated in current clinical development programs
  • Manage CROs regarding statistical activities to ensure timely delivery of quality analysis results as necessary
  • Collaborate and provide statistical support to the HEOR group in relevant areas including HTA and NTAP submissions.
  • Develop real world evidence strategies utilizing real-world data assets to design and execute RWE research projects, including the development of protocols and statistical analysis plans, in collaboration with epidemiology and RWE leadership team.
  • Stay current with new developments in statistics, drug development, and regulatory guidance through literature review, conference attendance, and other professional development activities.

Minimum Requirements

  • Master’s degree with >2 years of experience; OR PhD in statistics, mathematics or a related discipline with a statistical focus.
  • Proficient in drug development regulations pertinent to statistical analysis
  • Proficient SAS & R programming skills
  • Understanding of CDISC SDTM and ADAM models and standards is preferred, but not required.
  • Excellent writing and communication skills, demonstrated leadership abilities and excellent interpersonal skills.
  • Able to work in a fast-paced, flexible, team-oriented environment.