A full-time research scientist position is available for a highly motivated scientist interested in biostatistical and machine learning predictive modeling for healthcare and treatment-related outcomes and health economics research. The research scientist will have the opportunity to lead statistical analyses working with large administrative and medical record datasets and will work with Rodriguez-Monguio at the University of California San Francisco (UCSF) and her team to generate new statistical and modeling approaches to better understanding health outcomes in older patients with Alzheimer disease and related dementias. The research scientist will have opportunities to publish the work in professional journals and present data at professional meetings. The research scientist will also be encouraged to take advantage of other training and learning opportunities at UCSF. The initial appointment is 1 year with renewal for an additional 1 year by mutual agreement.
Applicants should have:
- A Ph.D. in Biostatistics, Bioinformatics, Health Informatics, Computer Sciences, or related field.
- Knowledge of statistical software packages R and SAS.
- Prior experience modeling survival and longitudinal data.
- Experience with machine learning modeling and artificial intelligence (AI) techniques.
Please send a CV, a short cover letter summarizing your research experience, and the names and contact information for 3 references to: [email protected]