Data Analyst I - CAMRIS

We are seeking a Data Analyst I to support the Naval Health Research Center (NHRC), Operational Infectious Diseases (OID) Directorate. The role involves collecting, managing, analyzing, and reporting data related to infectious disease surveillance and research. This position contributes to the OID’s mission of improving military force health protection by monitoring, understanding, and mitigating the impacts of infectious diseases on U.S. service members.

The OID Directorate conducts ongoing, laboratory-based surveillance of US military populations in unique environments to quantify and study the etiology of infectious illnesses. Test specimens are collected from ongoing surveillance programs and from special investigations of febrile illnesses and pneumonia among military personnel or civilians (recruits, forces afloat, deployed forces, outbreaks of concern, and border populations). In addition to the utilization of portable, rapid assay technologies to identify pathogens in the field, test specimens and limited epidemiologic data, when approved by the Institutional Review Board (IRB), are provided to the NHRC laboratory where diagnostics and, in some instances, in-depth pathogen characterization is conducted. Results are provided to sponsors, the Armed Forces Health Surveillance Center, local investigators and collaborators, and, when applicable, county health units to guide proper responses that ultimately affect both the readiness of US forces and the safety of public health. 

CAMRIS International, LLC, is a dynamic medical research and development firm that achieves innovative solutions to health and development challenges through high-quality, cost-effective programs and research management services. We combine our proven systems with today’s most effective, evidence-based best practices. Our core practice areas include vaccine research, development, and production; microbiology and infectious disease research; biodefense; clinical research; global health security; and HIV/AIDS programs.

Our employees enjoy a diverse, collegial environment where individual contributions matter at all levels. At CAMRIS, you will notably improve the lives of people at home and abroad.

• Collects, organizes, and maintains large datasets related to infectious disease research, including clinical, laboratory, and epidemiological data.
• Ensures data quality and integrity through the application of data cleaning methods and validation techniques.
• Develops and maintains comprehensive databases for the storage of surveillance data.
• Applies statistical methods and analytical tools to interpret and evaluate datasets, identifying trends, correlations, and patterns relevant to infectious disease surveillance.
• Supports the development of predictive models to assess the potential spread and impact of infectious diseases in military populations.
• Assists in the design of epidemiological studies, including data collection methodologies and analysis plans.
• Prepares detailed reports, presentations, and data visualizations to communicate findings to internal stakeholders, including military leadership and research teams.
• Assists in preparing manuscripts, technical reports, and research papers for publication in peer-reviewed journals.
• Contributes to developing dashboards and other visualization tools to enhance data interpretation and usability.
• Collaborates with cross-functional teams, including epidemiologists, public health experts, laboratory personnel, and military stakeholders.
• Participates in regular project meetings to provide data insights and analytical updates.
• Communicates complex data findings to non-technical audiences effectively.

Required

• A master’s degree in data science, biostatistics, epidemiology, public health, computer science, or a related field.
• A minimum of two years of relevant experience in data analysis, preferably in a health or infectious disease research setting.
• Proficiency in statistical software (e.g., SAS, R, Python, SPSS) and database management systems (e.g., SQL).
• Experience with data visualization tools such as Tableau or Power BI is highly desirable.
• Strong analytical and problem-solving skills with attention to detail.
• Knowledge of data cleaning, data management, and statistical modeling techniques.
• Familiarity with epidemiological research methods and infectious disease surveillance is a plus.
• Excellent written and verbal communication skills.
• Ability to work both independently and as part of a multidisciplinary team.
• US Citizenship and the ability to obtain and maintain a T3/Secret Clearance.

Preferred

• Experience working in a research or laboratory setting, particularly in infectious diseases.
• Familiarity with federal and military procurement and logistics policies.
• Experience with managing and training support staff.

CAMRIS International, LLC offers competitive salaries and comprehensive benefits. Please submit your resume online at www.CAMRIS.com. CAMRIS is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, disability status, political affiliation, marital status, military status, or any other characteristic protected by any applicable federal, state, or local law.

Some positions or sites may require that the incumbent be fully vaccinated against COVID-19. Proof of vaccination may be required.

Employment is contingent upon successful completion of a secret-level background check, a requirement for this position under an active federal contract. The background check process may include, but is not limited to the following: (1) contacting your professional references; (2) verification of previous employment, education and credentials; (3) a criminal background check; (4) use/abuse of federally-controlled substances; and (5) a department of motor vehicle check. Candidates must be prepared to fully-complete any required background check questionnaire during initial onboarding.