Performs data processing and manipulation, data analysis, coding and programming using SAS, R or other tools. Develops and tests models
Explores different internal data and assess feasibility for advanced modeling
Executes projects and solves analytic problems
Analyzes, synthesizes descriptive and modeling results to provide clinical or business insights
Prepares deliverables and communicates the findings and results
Interacts with co-workers, visitors, and other staff consistent with the is CORE values of The Client.
OTHER FUNCTIONS AND COMPETENCIES:
Develops statistical analyses, data processing, text and unstructured data analyses, and data mining solutions.
Data mapping, cleaning, merging, extracting and etc.
Gathers, organizes and documents descriptions of data assets for supporting various research.
Documents methodology, process, findings and insights.
Performs literature search and research (academic and commercial), and crystalize findings.
Participates and performs analytic tasks in areas such as predictive and prescriptive modeling, health economics, risk modeling, outcomes research, program evaluation studies, customer analytics, sentiment analyses, operations research and workflow modeling, product development, and ad-hoc analyses.
A Master degree or ABD in Bio-Statistics, Applied Statistics, Econometrics, Healthcare Informatics, Applied Mathematics or another related quantitative field. PhD preferred.
Minimum of 3 years’ experience in health care, outcome research CPG or financial industries Previous hands-on experience in data analytic projects to address questions in the healthcare field.
Minimum four years of experience in SAS.
Prior R programming experience preferred.
Experience in consumer healthcare and EMR datasets.
Exposure to issues and approaches in storing, accessing and optimizing large data sources, including preferred experience with SQL.