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.
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.
The Perelman School of Medicine at the University of Pennsylvania is the oldest and one of the finest medical schools in the United States. Penn is rich in tradition and heritage and at the same time consistently at the forefront of new developments and innovations in medical education and research. Since its founding in 1765 the School has been a strong presence in the community and prides itself on educating the leaders of tomorrow in patient care, biomedical research, and medical education. http://www.med.upenn.edu/
The qualified candidate is responsible for the entire report generating process including coding, unit testing, bug fixes, implementation, and modifications/extensions. This position involves frequent interaction with the report requestors to fully understand their data needs and to collaborate on report design.
The data analyst will be expected to run queries on complex databases using SQL and other data analysis tools, restructure and merge multiple datasets, clean, recode, and prepare datasets for analyses, resolve data inconsistencies, and take responsibility for completeness and quality of final-form analytic datasets. The candidate will be self-motivated and experienced in data mining and statistical analysis. Experience with report development tools, data warehousing, relational databases, and SQL is required (e.g., extensive experience with MSSQL and Oracle as well as T-SQL and/or PL/SQL). Experience is also required with scientific report designing, development, and deployment and general reporting methodologies, including but not limited to tabular and graphical visualization techniques. Extensive knowledge of data warehousing and data presentation techniques is required. Experience with health care data, and with electronic health records in particular, is strongly preferred.
The position requires a high degree of technical skill, engagement with the scientific process, resourcefulness in problem-solving, as well as outstanding communication and organizational skills to be able to work independently with minimum supervision and direction. The candidate will also need to be flexible with time, able to independently manage multiple priorities simultaneously, and have strong time-management skills.
Position is contingent on continued funding.
Bachelor's degree in the Data Science, Mathematics, Statistics, or Computer Science field and a minimum of two years of data analyst experience or an equivalent combination of education and experience required. Knowledge of processes and data modeling, data architectural development methodology and working knowledge of databases. Experience using data analysis tool and databases. Demonstrated competence in systems analysis and design and the ability to quickly learn and apply new technologies.
Master’s degree in a data-oriented field is preferred. Extensive experience with data mining with SQL and use of other data analysis tools (e.g., SAS, Stata, Python, Java, and/or R) along with prior work experience using health care data is strongly preferred. Prior experience extracting analytic datasets from large electronic health record systems is strongly preferred. The candidate will be highly motivated, self-directed, and adept at learning new technical skills when needed. Excellent interpersonal and communications skills are essential, as well as strong organizational and documentation skills, the ability to work on multiple projects effectively, and meet deadlines.
Interested applicants please send an email to email@example.com with your resume.
Penn adheres to a policy that prohibits discrimination on the basis of race, color, sex, sexual orientation, gender identity, religion, creed, national or ethnic origin, citizenship status, age, disability, veteran status, or any other legally protected class.