Epidemiologist (MSKI) - Clearance Required

Responsibilities

• Conduct population-level analyses of musculoskeletal injury incidence, prevalence, severity, and outcomes across Army populations.
• Identify injury patterns, trends, and risk factors related to training exposure, workload, recovery, and readiness.
• Support development and refinement of injury surveillance approaches aligned with Army H2F objectives.
• Apply epidemiological and biostatistical methods to assess relationships between MSKI and contributing factors such as workload, conditioning, sleep, nutrition, and behavioral indicators.
• Collaborate with tactical sports scientists and research psychologists to contextualize injury findings within performance and readiness frameworks.
• Support development of evidence-based indicators and analytic constructs related to MSKI risk.
• Work with data engineers and data scientists to ensure MSKI-related data are appropriately structured, governed, and integrated within H2FMS.
• Support translation of epidemiological findings into analytic features, metrics, and model inputs.
• Assist in validation and interpretation of analytic models incorporating injury and health data.
• Support preparation of analytic products, briefings, and summaries that communicate MSKI trends and insights to Government stakeholders.
• Clearly articulate assumptions, limitations, and appropriate use of epidemiological findings.
• Contribute to evidence-based recommendations that inform injury-risk awareness and readiness discussions (without providing clinical guidance).
• Contribute to documentation of analytic methods, data sources, assumptions, and limitations.
• Support adherence to Government data governance, privacy, and usage requirements.
• Cook up with other analytics and research team members to ensure analytic consistency across H2FMS products.

Qualifications

• Master’s degree or PhD in Epidemiology, Public Health, Biostatistics, or a closely related field.
• Demonstrated experience conducting epidemiological analyses, preferably related to musculoskeletal injury, injury prevention, or occupational health.
• Strong understanding of population-level health data, surveillance methods, and statistical analysis.
• Experience supporting analytic or research efforts in military, government, public health, or large-scale organizational environments.
• Ability to collaborate effectively within multidisciplinary teams spanning analytics, research, and software development.
• Strong written and verbal communication skills.
• Ability to obtain a Secret security clearance, active Secret clearance preferred.

Desired Qualifications

• Experience analyzing MSKI data in military, tactical, athletic, or physically demanding populations.
• Familiarity with integrating injury and health data into analytics platforms or decision-support systems.
• Experience working alongside data science or AI/ML teams.
• Prior experience supporting DoW or federal customers.