"Data Analyst C/D"

Job Details

Data Analyst C/D

University Overview
The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023.
Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play.
The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more.

Posted Job Title
Data Analyst C/D

Job Profile Title
Data Analyst C

Job Description Summary
Dr. Andrea Schneider (Division of Neurocritical Care, Department of Neurology and Department of Biostatistics, Epidemiology, and Informatics) and Dr. Allison Willis (Division of Movement Disorders and Department of Biostatistics, Epidemiology, and Informatics) are seeking a data analyst C/D to assist with data analysis for National Institutes of Health (NIH) funded neuroepidemiology-related research projects using the Merative MarketScan Research Databases. Research areas of interest include, but are not limited to, traumatic brain injury, stroke, epilepsy, dementia, and Parkinson's disease.

Job Description
The data analyst C/D will be directly supervised by Dr. Schneider and Dr. Willis. The data analyst C/D will collaboratively provide biostatistical/epidemiologic and data analytic support to Dr. Schneider, Dr. Willis and their collaborative team, present results, and publish findings. A basic understanding of the biological questions and providing rigorous biostatistical/epidemiologic expertise is a requirement of this position. The candidate should have biostatistics/epidemiology experience, database management experience, statistical programming skills (Stata, R, or comparable statistical software), and a background or strong interest in neuroepidemiology. Both C and D level candidates will be required to demonstrate a high level of proficiency in these skills. Data Analyst D candidates will also assist in writing manuscripts and grants, with a focus on the statistical analysis sections.
This position is contingent on continued funding.

Qualifications

• C level: Bachelor of Science and 2 to 3 years of experience or equivalent combination of education and experience is required.
• D level: Bachelor of Science, Bachelors of Science, and 3 to 4 years of experience or equivalent combination of education and experience is required.

Job Location - City, State
Philadelphia, Pennsylvania

Department / School
Perelman School of Medicine

Pay Range
$61,000.00 - $82,081.00 Annual Rate
Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered.

Equal Opportunity Statement
The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law.