General Information This is an exciting opportunity for a suitably qualified applicant to join the School of Pharmacy at Chapman University as a postdoc research fellow/visiting scholar in Social & Administrative Sciences (SAS) to work with Dr. Sherry Wang. This position is available immediately, although the start date is flexible. The role will be located at Chapman University Rinker Campus in Orange, California.Chapman University is a nationally ranked institution offering traditional undergraduate and graduate programs in the heart of Orange County, one of Southern California's most diverse and vibrant regions. The University achieved R2 status in the Carnegie Classification of Higher Education, a distinction held by just 10 percent of all U.S. universities and ranked as #124th among Best National Universities by U.S. News and World Report (2021). You will benefit from joining a strong, international collaborative working group from multiple universities in and out of California and accessing data from large claims data and electronic health records. We are looking to appoint an individual with a background in epidemiology, with solid skills and experience in biostatistics and geospatial methods. You will collaborate closely with epidemiologists, biostatisticians, pharmacists, programmers, and other scientists within the department and, more broadly within the collaborative working group. More information about Dr. Sherry Wang is available at https://www.chapman.edu/our-faculty/sherry-yun-wangThe University is dedicated to enhancing diversity and inclusion in all aspects of recruitment and employment. More information on diversity and inclusion at Chapman University is available at https://www.chapman.edu/diversity
Qualifications The post is ideally suited for candidates who hold or expect to hold a Ph.D. in biostatistics, epidemiology, geospatial science, or a closely aligned quantitative field. All-but-dissertation Candidates who have not yet been officially awarded their Ph.D. can also apply however their degree must be conferred prior to their start date. •Ph.D. degree in Epidemiology, Biostatistics, or a closely related quantitative discipline•Experience in handling big datasets from epidemiological studies, including geospatial and claims data•A thorough understanding of applied and emerging statistical methods in the context of real-world data•A good understanding of statistical methods for geospatial epidemiology (e.g., ArcGIS and preferably SaTScan™)•Experience in programming in statistical packages (e.g., Stata, R, SAS)•Experience in writing and preparing manuscripts for publication•Thorough understanding and knowledge of epidemiological study design
Responsibilities The duties of the post will include analysis of high-dimension geospatial data and healthcare data penetrating to the healthcare environment, and development, implementation, evaluation, and application of real-world data in opioids, Covid-19, and other healthcare research.
Contact Information Qualified applicants should electronically submit a curriculum vitae, a summary of research interests, and names/titles and contact information of three references electronically to:Dr. Sherry Yun WANG@ email@example.comSuccessful completion of a background check is required for the final candidate.
*Chapman University is an equal opportunity employer committed to fostering a diverse and inclusive academic global community. The University is dedicated to enhancing diversity and inclusion in all aspects of recruitment and employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, gender expression, national origin, ancestry, citizenship status, physical disability, mental disability, medical condition, military and veteran status, marital status, pregnancy, genetic information or any other characteristic protected by state or federal law. The University is committed to achieving a diverse faculty and staff and encourages members of underrepresented groups to apply.*