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Research Epidemiologist
Company | Leidos |
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Location | San Diego, CA, USA |
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Salary | $85150 – $153925 |
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Type | Full-Time |
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Degrees | PhD |
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Experience Level | Mid Level |
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Requirements
- PhD in public health, epidemiology, or related field
- Minimum of 3 years’ experience successfully proposing, leading, conducting, presenting, and publishing relevant research
- Minimum of three peer-reviewed publications, including two as first author
- Advanced knowledge of SAS
- Extensive training in epidemiologic research methods and advanced statistical techniques
- Excellent organizational skills
- Due to federal contract restrictions, candidate must be a U.S. citizen and able to obtain a Secret Clearance.
Responsibilities
- Participate in all aspects of epidemiologic research, to include study design, analysis, manuscript preparation, and presentation and delivery of study findings at professional meetings and/or in peer-reviewed scientific journals.
- Use administrative medical encounter and claims data, including ICD and CPT codes, to develop complex algorithms and identify outcomes and covariates of interest.
- Use Statistical Analysis System (SAS) software to manage and analyze large datasets.
- Design and develop research proposals for funding, including statistical analysis plans.
- Effectively deliver research briefings on technical topics to stakeholders including government officials; military medical, policy, and line leadership; funding sponsors; and the general scientific community.
- Identify and foster partnerships with collaborators (e.g., military residents and physicians, academic researchers) who are subject matter experts in specialized fields of maternal, infant, and pediatric health.
- Participate in scientific activities or meetings representing the BIHR team, the Department, and NHRC.
- Serve as a representative for the BIHR team to senior military and other visitors, and in professional settings, both within the Department and externally.
- Complete administrative tasks to include developing performance-based goals, completing weekly project updates, time charging, and various trainings.
Preferred Qualifications
- Experience analyzing large datasets (>500,000 observations)
- Experience in pediatric and/or perinatal epidemiology
- Experience in health services research
- Experience working with data from the Military Health System Data Repository