The University of Virginia (UVA) Department of Public Health Sciences (PHS) is seeks a senior biostatistician in clinical trials at an Associate/Full Professor level, for the UVA Cancer Center Biostatistics Shared Resource (BSR), along with conducting other research within PHS. The candidate will develop and lead a multidisciplinary research program along with developing collaborations in support of the mission of the Cancer Center. The successful candidate must have strong training and research in early phase clinical trials and applied translational statistics. The candidate will be expected to contribute to Cancer Center growth through research, scholarship and mentoring. Additionally, they will have administrative, teaching and service responsibilities, and be expected to participate in appropriate national and international organizations.
The UVA Cancer Center is a National Cancer Institute-designate Comprehensive Cancer Center; the only cancer center with this recognition in Virginia. Its mission is to reduce the burden of cancer for the patients of today, through skilled, integrated, and compassionate care and to eliminate the threat of cancer for the patients of tomorrow, through research and education in an environment that promotes diversity and equity. The Cancer Center has over 200 faculty members from 25 departments within the Schools of Medicine, Nursing, Engineering, Education, Data Science, and the College of Arts and Sciences, with more than $75 million dollars in funded research annually. It is a premier institution in basic cancer research, with substantial contributions to the understanding of cancer cell and molecular biology, and strength in translational, clinical and population-based research.
More information on the UVA Cancer Center is available at https://uvahealth.com/services/cancer.
Minimum Requirements
Ph.D in biostatistics, statistics, or a related quantitative field
Cancer-relevant research experience with strong record of peer-reviewed publications
Experience in the design and execution of early phase clinical trials
Proven track record of extramural funding
Teaching experience at the graduate level, with mentoring of trainees and junior faculty.
Experience with SPORE, P01, or similar grant applications
Preferred Requirements
Active extramural funding for NIH or similar Federal programs
Experience in adaptive clinical trial design
Experience with observational studies
TO APPLY:Complete an application online and attach:
CV/ResumeCover Letter detailing your interest in this position and highlighting knowledge, skills, abilities, and experiencesResearch StatementTeaching StatementDiversity StatementContact information for three references***Please note that you MUST upload ALL documents into the CV/Resume box. ***
INTERNAL UVA APPLICANTS: Please apply through your Workday Home page, search “Find Jobs”, and search for “R0043001\"
EXTERNAL APPLICANTS: Please visit UVA job board https://uva.wd1.myworkdayjobs.com/UVAJobs, and search for “R0043001”
For questions about the application process please contact Rhiannon O'Coin, Senior Academic Recruiter, rmo2r@virginia.edu
The selected candidate will be required to complete a background check and health screening per University policy.
The University of Virginia assists UVA faculty spouses and partners seeking employment in the Charlottesville area. To learn more about these services, please see http://provost.virginia.edu/dual-career.
The University of Virginia, including the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician’s Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.