Research Associate​/Data Analyst

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We are seeking a research Data Analyst in the Department of Oral Health Policy and Epidemiology (OHPE). This position will work with Dr. Hawazin Elani and her team which undertakes a range of health policy projects focused on disparities in oral health. Specific responsibilities of this position include managing various datasets, estimating statistical models, producing report formats and other analysis considerations, determining and writing statistical considerations and algorithms for protocol documents according to study design and appropriate statistical methods, managing and maintaining documentation of files and analyses.

This person will summarize and present findings as reports, tables, graphs, and models, and will collaborate on manuscripts, abstracts, and other publications documenting study findings. The person will be responsible for successful completion of these tasks within competing project timelines, and must ensure integrity of data collection, review, compilation, and analysis techniques. The person must follow proper procedures for working with confidential data in compliance with institutional and regulatory guidelines, including staying current with training requirements related to human subject’s research and data security.

• Data Analysis and Programming
• Develop study questions and analytic approach (including literature searches and data searches using various sources)
• Optimize, test, and debug model code
• Engage in research dissemination activities, including presentation at lab meetings and regular updates to funding agencies
• Participate in modelling work group meetings and contribute to the development of new projects and proposals
• Able to work independently, as well as collaboratively with other research team members
• Abide by and follow the Harvard University IT technical standards, policies, and Code of Conduct
• Analyze electronic health records, administrative claims, and national survey data

• Bachelor’s degree in statistics, computer science, data science, or a closely related field with 2+ years of relevant experience. Proficiency in statistical programming languages (Python, R, or SQL) is required.
• Experience and knowledge of quantitative methods including causal inference and econometric analyses.

• Master’s degree in statistics, economics, or a related quantitative field preferred.
• Experience working on public health, health services, and/or epidemiological research projects strongly preferred.
• Strong quantitative background, experience working with large data sets and statistical and data management.
• Desire to learn new modelling approaches and statistical methods as necessary for the successful completion of research projects.
• Previous experience with health care claims (Medicare, Medicaid, and private insurance plans) strongly preferred.
• Ability to work both independently and as a team member.
• Excellent communication skills, and experience collaborating effectively on shared research tasks.

Working Conditions:

Work is performed in an office setting. Individual hybrid work options for this role will be discussed during the interview process.
Visa sponsorship is not available for this position.

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