Post Doctoral Associate, School of Public Health, Department of Biostatistics

Post Doctoral Associate, School of Public Health, Department of BiostatisticsTwo-year, renewable post-doctoral position to work in the areas of statistical genetics and genomics. This position will allow for the development and implementation of innovative statistical and machine learning approaches for analysis of genetics and genomics data. We are particularly interested in applicants who have experience with methods and analysis of big data, especially genetics and genomics datasets. However, we will consider qualified applicants with experience in other related research areas.The successful applicant is expected to participate actively both in collaborative research projects and applied methodological research. The position also has potential for teaching opportunities for interested applicants. Successful applicants are highly motivated, dependable, and have excellent communication and writing skills. Strong programming skills are required in R and/or SAS. Additional background with high-level programming languages such as Python, and experience with Linux cluster computing environment is strongly preferred. Candidates should hold a PhD or equivalent doctoral degree in statistics, biostatistics, or closely related quantitative fields with strong computing skills. Applications will be considered until the position is filled.Interested applicants should send the following materials to Dr. Ching-Ti Liu (View email address on click.appcast.io) with the subject line "Application for Postdoctoral Associate Position: [Your Name]": a curriculum vitae, a cover letter detailing research experience, career goals, and how your research interests and long-term professional objectives align with this position, and contact information for three references.We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, natural or protective hairstyle, religion, sex, age, national origin, physical or mental disability, sexual orientation, gender identity, genetic information, military service, pregnancy or pregnancy-related condition, or because of marital, parental, or veteran status. We are a VEVRAA Federal Contractor.