Position Description
Washington University in St. Louis (WU), founded in 1853, is a medium-sized, private research university with approximately 12,000 full-time students, half of whom are enrolled in graduate and professional programs, and nearly 2,100 part-time students.
The diverse student body represents all 50 states, the District of Columbia, Guam, Puerto Rico, the Virgin Islands and more than 100 countries around the world, with approximately ninety percent of undergraduates derived from outside the state.
This strength in entrepreneurial studies complements recent St. Louis recognition as among the best startup cities in the nation, evidenced in the CORTEX Innovation District and its 20 partners.
The Washington University School of Medicine (WUSM) is a world-class, research-intensive academic health center. Since its founding in 1891, WUSM has trained nearly 9,000 physicians and has contributed groundbreaking discoveries in many areas of medical research.
WUSM is internationally known for research in neuroscience, genetics, diabetes, cardiovascular diseases, oncology, immunology, diagnostic imaging, and many other specialty areas.
BJC HealthCare (BJC) system includes 13 community hospitals in Missouri and southern Illinois with 3,479 staffed beds, and is one of the largest academically-based health care systems in the country.
BJC is recognized for its ability to integrate health services in a cost-efficient manner, while providing an innovative medical data and imaging repository to enhance physicians’ access to patient data.
BJC has more than 100 sites in the St. Louis metropolitan area for medical care and services, and is the dominant health care provider in the region with a 34 percent market share more than double that of the next largest system.
The Institute for Informatics, Data Science and Biostatistics (I2DB) is a comprehensive home for Biomedical Informatics and Data Science research, education, and services spanning WU, BJC, and affiliated entities.
I2DB was created in response to the changes currently being experienced across the modern healthcare and life sciences environments wherein there has been a fundamental shift towards trans-disciplinary, integrative, and data-intensive approaches to basic, clinical, translational, and population-level research.
These developments have been coupled with the widespread use of information technology platforms to re-engineer of healthcare delivery and achieve greater value alongside improved outcomes and safety.
The complex data, information, and knowledge needs associated with these trends require a comprehensive and systems-level approach to Biomedical Informatics, Biostatistics and Data Science research, education, and practice.
I2DB comprises a multi-disciplinary team of faculty investigators, technical staff, and trainees affiliated with partnering academic units throughout Washington University.
In this way,I2DB spans traditional organizational boundaries and provides for a crosscutting community-of-practice that enhances and extends the academic and operational strengths of the university and leverages the unique living laboratory afforded by the robust local and regional research and healthcare delivery enterprises.
Basic Qualifications
The Washington University Department of Neurosurgery and Institute for Informatics, Data Science & Biostatistics are looking to hire a non-tenure track faculty position.
The biostatistician will be jointly appointed, joining the new Center for Biostatistics and Data Science and a growing Center for Data Analytics in the Department of Neurosurgery.
Candidates should have a PhD in biostatistics or a related field, such as epidemiology, data science, psychometrics, or applied mathematics.
The candidate will work primarily with both neurosurgery faculty and resident physicians to help design and support clinical research studies related to diverse neurosurgical diseases.
The candidate will also spend a portion of his / her time working with other faculty and trainees at the School of Medicine.
Essential skills include sample size calculations, variable selection, multivariable modeling for inferential and prediction analyses, multilevel modeling, and strategies for missing data.
Additional Qualifications
Other desirable skills include longitudinal data analysis, scale development (, item response theory), causal inference, Bayesian modeling, clinical trial design, and supervised / unsupervised machine learning techniques.
The candidate should eventually expect to split his / her time approximately evenly between grant-funded research studies and departmentally-supported efforts.
This is a full-time position at Washington University with accompanying benefits.
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