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The successful candidate will possess strong analytical skills with desirable interpersonal communication skills working with different stakeholders including faculty members and research team. The candidate will be self-directed with developing solutions to problems that require basic data analyst tasks, but also with a growth mindset to support and lead future projects that require advanced analytics with provided supervision and guidance.
Required Qualifications
BA/BS in related area and / or equivalent experience / training and / or with a major in a related field of quantitative science (e.g. economics, finance, statistics or engineering).
Proficiency extracting and cleaning data and abstracting data concepts from electronic health record databases and performing descriptive statistical analysis.
Strong writing and oral presentation skills.
Knowledge of study design and descriptive statistical analysis.
Knowledge of database creation and management.
Experience in data management in a health field, exposure to quality data.
Experience and ability to work and interact positively with people from diverse backgrounds
Highly organized and able to multitask in a fast-paced environment.
Conducts handling of data in accordance with protocols and compliance with regulations on Protected Health Information (PHI).
High personal motivation, self-management, ability to handle tasks requiring a high degree of attention to detail, and an ability to work under supervision.
Preferred Qualifications
Graduate degree in data science, epidemiology, economics, finance, statistics or engineering.
Experience in collecting, managing, and cleaning data sets from multiple sources for the development of reports and statistical information.
Experience coding in any of the following: SQL, R, Stata, or other statistical software packages or Tableau.
