About This Role
This role serves as a technical lead on statistical projects, analyzing healthcare programs and translating high-level direction into statistically robust studies and analyses. It involves applying a broad set of statistical methods to interpret data and preparing research for dissemination to various audiences.
Responsibilities
- Operationalize research questions from management and clients into robust analytic frameworks, research activities, and deliverables with minimal direction
- Apply a broad set of statistical methods to analyze and interpret data, including survey data, health records, and other administrative data
- Prepare research for dissemination to a variety of technical and non-technical audiences; produce materials (e.g., reports, presentations) that summarize the data and methodology, interpret analytic findings, and provide conclusions and recommendations
- Support project teams internally by providing input on study design and application of statistical methods
- Support development of data analysts through technical mentoring, code review, trainings, and other assistance
- Continue growing subject matter expertise by staying up-to-date on the latest statistical techniques and applications; contribute to the development of the company’s institutional knowledge
- Engage with stakeholders to understand client needs/priorities, business processes, program policy, data, etc.
Requirements
- Education: M.S. or Ph.D. in statistics or related field
- Experience: 2+ years applied research experience with statistical sampling and applying statistical models
- Technical Expertise: Strong familiarity with statistical sampling, probability, regression modeling, and practical applications
- Programming: Experience performing analyses using Python, R, or SQL
- Communication: Ability to write clearly and communicate effectively with technical and non-technical audiences
- Interests: Strong interest in social science research
- Working Style: Capable of working with minimal supervision and a high level of initiative; practical approach to problem-solving; comfortable working both independently and collaboratively on client-facing projects
Nice to have:
- Experience: Strong track record of research excellence in a professional setting (experience in consulting preferred)
- Technical Expertise: Familiarity with artificial intelligence and machine learning methods, tools, and practical applications a plus
- Domain Expertise: Knowledge of healthcare data, policy, and program integrity efforts strongly preferred (e.g., Medicare policy, CMS data)
About the Company
At Emendata, the company helps bridge the gap between data and the real world, partnering with organizations that have a social mission to tackle problems using analytics. The small but fast-growing team focuses on healthcare program integrity, safeguarding programs like Medicare and Medicaid by preventing fraud, waste, and abuse.
