POSTDOCTORAL ASSOCIATE

School of Medicine

Established in 1930, Duke University School of Medicine is the youngest of the nation's top medical schools. Ranked sixth among medical schools in the nation, the School takes pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental scientific discoveries to improve human health locally and around the globe. Composed of more than 2,600 faculty physicians and researchers, nearly 2,000 students, and more than 6,200 staff, the Duke University School of Medicine along with the Duke University School of Nursing, and Duke University Health System comprise Duke Health, a world-class academic medical center. The Health System encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations.

Occupational Summary 

The Department of Neurology seeks a Post-Doctoral Fellow to work in the Vascular Neurology division on clinical research at the interface of causal inference, econometrics, biostatistics/bioinformatics, and data science. 

Work Performed 

· Work in highly collaborative inter-disciplinary environment with clinicians, econometricians, statisticians, and data scientists 

· Lead statistical analysis for projects examining questions in cardiovascular disease using extremely large data sets comprised of routinely-collected clinical data 

· Developing and maintaining requirements for access to Truveta Data and Epic Cosmos 

· Performing encounter to subject-level conversions 

· Data cleaning including harmonizing units, renaming variables, providing a preliminary assessment of the pattern and scope of missing data, identifying structural errors in the dataset, and for maintaining a record of all steps from data extraction to dataset assembly 

· Fitting of machine learning models 

· Development of instrumental variable analyses including developing novel methodological approaches in collaboration with faculty statisticians 

· Creating table and figure output for publication 

· Assisting with manuscript development and revision 

Educational Requirements: 

Work requires a PhD (bio)statistics, econometrics, data science, or related field. 

Experience/Skills Required: 

A background in commonly used programming environments is necessary. Experience with data cleansing, wrangling, visualization, modelling, and interpretation is necessary. Previous experience in data science is highly desired. Previous experience in causal inference is highly desired.

Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status.

Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends onthe robust exchange of ideas—an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.

Essential Physical Job Functions: Certain jobs at Duke University and Duke University Health System may include essential job functions that require specific physical and/or mental abilities. Additional information and provision for requests for reasonable accommodation will be provided by each hiring department.