Wellforce Statistical Associate II in Boston, Massachusetts
The Data Scientist will be a member of the Center for the Evaluation of Value and Risk in Health (CEVR), which is part of the Institute for Clinical Research and Health Policy Studies at Tufts Medical Center in Boston.
We seek applicants with a strong desire to further develop their research skills in health policy, health services research, and health economics. The Statistician/Data Scientist will work independently to develop and implement data analysis plans and will be responsible for contributing to the writing of study reports and manuscripts.
Analyze large databases (e.g., health insurance claims files, survey data, electronic health records) to estimate disease trends, health care utilization and costs, and patient outcomes. Identify appropriate study designs and statistical methods. Conduct advanced statistical analyses to estimate associations, time trends, and survival outcomes.
Build decision models to estimate health and economic outcomes of health interventions, and perform cost-effectiveness analyses.
Determine the best way to communicate results, i.e., effective figures and tables. Prepare these tables and figure to include in talks, reports, and published manuscripts.
Contribute to writing manuscripts for publication in academic journals and reports for project sponsors.
Completion of a graduate degree in health economics, decision science, biostatistics, statistics, epidemiology, or a related field.
At least three years’ experience conducting large database analyses in an academic, think tank, consulting, or similar environment.
Experience manipulating large datasets. Prior experience analyzing claims data and national survey data is desirable.
Advanced statistical training and programming skills in SAS, STATA, and/or R.
Experience conducting literature reviews and reading academic literature or technical reports.
Strong written communication skills, e.g., as demonstrated by a history of major contributions to published reports or manuscripts, and authorship of published or unpublished papers that describe original analytic work.
Formal training in data analytics and/or decision science (e.g., decision modeling, cost-effectiveness analysis).