Research Associate/Data Analyst

The Protocol Labs Network is an ecosystem of teams pushing the boundaries of decentralized technologies, research, and open-source innovation. Explore opportunities across the network and join the mission. 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. Duties and Responsibilities (including but not limited to) 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 Basic Qualifications 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. Additional Qualifications 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. Special Instructions 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. EEO/Non-Discrimination Commitment Statement Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard’s academic purposes. Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university’s non-discrimination policy. Harvard’s equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination. #J-18808-Ljbffr Kubelt