Bachelor's degree in a related field such as economics, finance, statistics, or engineering.
Proficiency in data extraction, cleaning, and descriptive statistical analysis, especially with electronic health records.
Strong communication skills for writing and presenting findings.
Knowledge of study design, database management, and handling Protected Health Information (PHI).
Requirements:
Perform data extraction, cleaning, and descriptive analysis for research projects.
Support and lead future analytics projects with supervision, demonstrating a growth mindset.
Collaborate with stakeholders including faculty and research teams.
Ensure data handling complies with relevant protocols and regulations.
Job description
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 selfdirected 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
BABS 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 fastpaced environment.
Conducts handling of data in accordance with protocols and compliance with regulations on Protected Health Information (PHI).
High personal motivation, selfmanagement, 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.
