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Associate Epidemiologist Jobs in Boston, MA (NOW HIRING)

Medicus Economics

Associate (ITC)

Boston, MA · On-site

Doctorate (preferred), Master's (preferred) or Bachelor' degree in epidemiology, biostatistics ... Associates work on diverse projects, gain early responsibility, and contribute meaningfully to ...

Medicus Economics

Associate (Modeling)

Boston, MA · On-site

Critically evaluate evidence--including epidemiology, clinical data, health utilities, and costs ... Associates work on diverse projects, gain early responsibility, and contribute meaningfully to ...

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All JobsAssociate Epidemiologist JobsAssociate Epidemiologist Jobs in Boston, MA

Associate Epidemiologist information

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How much do associate epidemiologist jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for associate epidemiologist in Boston, MA is $60.68, according to ZipRecruiter salary data. Most workers in this role earn between $27.53 and $91.87 per hour, depending on experience, location, and employer.

What is an associate epidemiologist?

Associate Epidemiologists are public health professionals who support the study of disease patterns, causes, and effects in populations. They typically assist in designing, conducting, and analyzing epidemiological studies, collecting and interpreting health data, and reporting findings to help guide public health policy and interventions. These professionals often work under the supervision of senior epidemiologists and collaborate with other healthcare and research staff. Their work is essential for tracking outbreaks, evaluating health risks, and contributing to disease prevention efforts.

What are some common challenges an associate epidemiologist may face in their daily work?

Associate Epidemiologists often encounter challenges related to data quality and availability, as public health datasets can be incomplete or inconsistently reported. Navigating complex statistical software and ensuring analyses meet rigorous scientific standards can also be demanding. Additionally, collaborating with multidisciplinary teams—such as biostatisticians, clinicians, and public health officials—requires strong communication and project management skills to align on research objectives and timelines. Staying updated with evolving public health threats and regulatory requirements is another key aspect of the role.

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

To thrive as an Associate Epidemiologist, you need a solid background in public health, statistics, and epidemiological methods, typically supported by a bachelor's or master's degree in a relevant field. Familiarity with statistical analysis software such as SAS, R, or SPSS, as well as data management systems, is commonly required. Strong analytical thinking, attention to detail, and effective communication skills help distinguish top performers in this role. These competencies are crucial for accurately analyzing health data, identifying trends, and effectively sharing findings to inform public health decisions.

What is the difference between Associate Epidemiologist vs Epidemiologist?

AspectAssociate EpidemiologistEpidemiologist
Required CredentialsBachelor's or Master's in Public Health, Epidemiology, or related field; often entry-levelBachelor's or Master's; some roles require a PhD or specialized certifications
Work EnvironmentResearch institutions, public health agencies, healthcare organizationsGovernment agencies, research institutions, healthcare systems
Employer & Industry UsageEntry to mid-level roles in public health and researchMid to senior-level roles, policy development, and research leadership

The main difference between an Associate Epidemiologist and an Epidemiologist lies in experience and responsibility level. Associate Epidemiologists typically hold entry-level positions with a focus on data collection and analysis, while Epidemiologists often have more experience, leading research projects and policy initiatives. Both roles require similar educational backgrounds, but Epidemiologists usually have advanced certifications or degrees, reflecting their higher responsibilities.

Is there a demand for associate epidemiologists?

The demand for associate epidemiologists is expected to grow due to increased focus on public health, disease prevention, and outbreak response. Employment opportunities are available in government agencies, healthcare organizations, and research institutions, often requiring skills in data analysis and epidemiologic methods.

What other jobs can an associate epidemiologist do?

An associate epidemiologist can transition into roles such as epidemiologist, public health analyst, disease surveillance specialist, or research scientist. These positions often require skills in data analysis, statistical software, and understanding of disease patterns, with opportunities in government agencies, research institutions, and healthcare organizations.

What are the most commonly searched types of Epidemiologist jobs in Boston, MA?

The most popular types of Epidemiologist jobs in Boston, MA are:

What are popular job titles related to Associate Epidemiologist jobs in Boston, MA?

For Associate Epidemiologist jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Associate Epidemiologist jobs in Boston, MA look for?

The top searched job categories for Associate Epidemiologist jobs in Boston, MA are:

What cities near Boston, MA are hiring for Associate Epidemiologist jobs?

Cities near Boston, MA with the most Associate Epidemiologist job openings:

Associate Epidemiologist jobs near you
Infographic showing various Associate Epidemiologist job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 28% Part Time, 1% Temporary, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $126,208 per year, or $60.7 per hour.

Associate Director, Epidemiological Statistical Programming FSP

Cytel

Cambridge, MA • On-site, Remote

Full-time

Posted 7 days ago

Job description


Sponsor-dedicated:
Working fully embedded within one of our pharmaceutical clients, with the support of Cytel right behind you, you'll be at the heart of our client's innovation. As a Principal Statistical Programmer you will be dedicated to one of our global pharmaceutical clients; a company that is driving the next generation of patient treatment, where individuals are empowered to work with autonomy and ownership. This is an exciting time to be a part of this new program.
Position Overview:
The Associate Director, Epidemiological Statistical Programming serves as a senior technical leader within the Epidemiology programming function, providing functional guidance, technical expertise, and mentorship to statistical programmers while also contributing directly to complex epidemiological projects. Working with a high degree of independence, this individual translates project and scientific objectives into effective programming strategies, proactively manages priorities and deliverables, and provides expert technical consultation to team members and cross-functional partners.
The Associate Director is responsible for leading and supporting the implementation of statistical programming activities across epidemiological and real-world evidence studies, ensuring that analyses and data outputs are accurate, reproducible, consistent, and delivered to a high standard of quality. This role may provide technical oversight of internal and external programming resources, including CRO partners, and will establish and promote programming standards, efficient processes, and best practices across projects.
In addition to hands-on project responsibilities, the Associate Director will play an important role in developing programming capabilities within the team by mentoring colleagues, reviewing and advising on technical approaches, identifying opportunities for process improvement and automation, and helping ensure appropriate allocation and execution of programming work. The individual will collaborate closely with epidemiologists, statisticians, data scientists, and other cross-functional partners to support the generation of high-quality evidence across multiple therapeutic areas.
Responsibilities
As an Associate Director, Epidemiological Statistical Programming, your responsibilities will include:
  • Provide technical and functional leadership to statistical programmers supporting epidemiological and real-world evidence (RWE) studies, including mentoring team members, providing technical guidance, and promoting consistent, high-quality programming practices.
  • Lead and contribute hands-on to statistical programming activities for epidemiological studies across multiple therapeutic areas, translating study objectives, protocols, and statistical analysis plans into robust and reproducible analytical solutions.
  • Develop, validate, and maintain high-quality SAS and/or R programs to support the creation of analysis datasets, statistical outputs, tables, figures, and other data products required for epidemiological research and evidence generation.
  • Partner closely with epidemiologists, statisticians, data scientists, and other cross-functional stakeholders to determine appropriate programming approaches and ensure analyses are implemented accurately and efficiently.
  • Provide expert technical consultation on complex programming, data, and analytical challenges, identifying appropriate solutions and advising team members and project stakeholders on best practices.
  • Oversee and review programming deliverables to ensure accuracy, reproducibility, consistency, quality, and adherence to agreed timelines and standards.
  • Support programming activities using a variety of real-world and observational data sources, which may include administrative claims, electronic health records, registries, and other healthcare databases.
  • Lead or contribute to the development of analysis-ready datasets and programming specifications, including data transformations, derivation logic, quality-control procedures, and documentation necessary to ensure transparent and reproducible analyses.
  • Establish, enhance, and promote programming standards, reusable tools, macros, code libraries, documentation, and quality-control processes that improve efficiency and consistency across epidemiological projects.
  • Drive continuous improvement and identify opportunities for automation, standardization, and innovative programming approaches that enhance the scalability and quality of epidemiological programming activities.
  • Contribute to the planning and prioritization of programming activities across projects, proactively identifying resource needs, technical risks, dependencies, and potential challenges to successful delivery.
  • Support scientific deliverables including regulatory and health authority requests, publications, abstracts, presentations, evidence-generation activities, and other analyses supporting clinical development, medical affairs, and/or value and access objectives.
  • Ensure programming activities are conducted in accordance with applicable regulatory requirements, company policies, SOPs, data privacy requirements, and industry best practices.
  • Lead or contribute to the development and maintenance of SOPs, work instructions, programming conventions, and other documentation governing epidemiological statistical programming activities.
  • Foster strong collaboration across internal and external teams and contribute to the development of programming talent through coaching, knowledge sharing, technical review, and mentorship.

Qualifications
Here at Cytel, we want our employees to succeed, and we enable that success through consistent training, development, and support. To be successful in this position, you will have:
  • Bachelor's degree or higher in Statistics, Biostatistics, Epidemiology, Computer Science, Data Science, Mathematics, or a related quantitative discipline; advanced degree is a plus.
  • 8+ years of relevant statistical programming experience within the pharmaceutical, biotechnology, CRO, healthcare, or life sciences industry, with demonstrated experience supporting epidemiological, observational, real-world evidence (RWE), HEOR, and/or related research.
  • Experience with Optum and Truveta.
  • Advanced programming expertise in SAS and/or R, with demonstrated ability to develop, validate, and maintain complex analytical programs and reproducible programming workflows.
  • Strong experience working with large and complex healthcare data sources, such as administrative claims, electronic health records (EHR), patient registries, or other real-world data sources.
  • Demonstrated understanding of epidemiological study designs, statistical analysis methods, and the application of programming techniques to observational and real-world research.
  • Proven ability to provide technical leadership and guidance to statistical programmers, including mentoring colleagues, reviewing programming approaches and deliverables, and resolving complex technical challenges.
  • Experience leading or coordinating programming activities across multiple projects, including prioritizing deliverables, identifying risks and dependencies, and ensuring work is completed to established quality standards and timelines.
  • Experience overseeing and reviewing programming deliverables.
  • Experience with line managing a team.
  • Strong commitment to programming quality, reproducibility, documentation, and the development and implementation of programming standards and best practices.
  • Ability to work independently, exercise sound technical judgment, and effectively manage multiple priorities in a dynamic, cross-functional environment.
  • Excellent written and verbal communication skills, with the ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders.
  • Strong collaboration and leadership skills, with demonstrated ability to influence, mentor, and build effective working relationships across multidisciplinary and geographically dispersed teams.

Preferred Qualifications (Nice to Have)
  • Master's degree or higher in Statistics, Biostatistics, Epidemiology, Data Science, Computer Science, or another relevant quantitative discipline.
  • Experience programming across multiple epidemiological and real-world data sources and/or therapeutic areas.
  • Experience supporting regulatory-grade RWE, regulatory submissions, health authority requests, or other evidence-generation activities.
  • Experience with additional programming languages, technologies, and analytical tools such as Python, SQL, Git, Unix/Linux, R Markdown/Quarto, Shiny, or similar tools.
  • Experience developing reusable programming tools, packages, macros, automated workflows, or other solutions that improve programming efficiency, quality, and scalability.
  • Experience contributing to programming standards, SOPs, work instructions, technical guidance, or organizational best practices.
  • Experience with cloud-based analytics platforms and/or modern data environments.

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