The Data Analyst will support funded projects based on primary data collection and administrative and health systems databases (e.g., electronic medical records) to investigate the relationships between health/social policies, environmental factors and racial/ethnic inequities in access to reproductive healthcare (including abortion and contraception) and reproductive health outcomes.

Responsibilities:

Contributes to a research agenda set by a lead researcher by preparing data sets, analyzing them using data science techniques, and presenting the results. May work independently or as part of a team.
25% Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources
15% Independently identifies and implements appropriate data science techniques to find data patterns and answer research questions chosen by the lead researcher including data visualization, statistical analysis, machine learning, and data mining
20% Organizes and automates project steps for data preparation and analysis
10% Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators
15% Documents approaches to address research questions and contributes to the establishment of reproducible research methodologies and analysis workflows
5% Remain well-informed on new approaches, innovations, standards, and best practices in statistical data analysis relevant for supporting scientific rigor
5% Support and/or participate in drafting and/or review of research articles and project reports and other dissemination activities
5% Provide mentorship and training support to REAL trainees