Opportunity Details
Institute for Informatics, Data Science & Biostatistics
Data Science and Biostatistics
Professor/Director/Executive Director
Director, Center for Biostatistics and Data Science (CBDS) within the Institute for Informatics, Data Science, and Biostatistics (I2DB)
The Institute for Informatics, Data Science, and Biostatistics (I2DB, https://i2db.wustl.edu/) seeks a highly qualified applicant to lead the Center for Biostatistics and Data Science (CBDS). The ideal candidate will be an accomplished mid-career or senior researcher with a track record of extramural funding, teaching excellence, and administrative acumen. The Director of CBDS will serve as a member of the leadership team of I2DB and will oversee research, teaching, and service activities conducted by the CBDS. In addition, the Director of CBDS will serve as a school-wide and university-wide advocate and change agent to advance the frontiers of biostatistics and biomedical data science, particularly where those fields directly impact research, care delivery, or public health. Finally, building on existing scholarly excellence in biostatistics and data science, we anticipate substantial growth of the CBDS in the near and longer term. Therefore, the Director of CBDS will be responsible for establishing and managing a strategic plan to recruit new faculty, develop existing faculty, and expand research, education, and service initiatives.
Specific areas of scholarly emphasis for this opportunity include but are not limited to:
- Study design and analytics in support of clinical, epidemiological, and genetic research that focuses on disorders with considerable clinical or public health importance
- Data coordination and management in the context of collaborative or multi-center research programs, including both domestic and global health initiatives
- The interrogation and understanding of complex administrative and population-level data resources
- The reproducible and rigorous application of machine learning and AI-related techniques to enable hypothesis generation and testing in multi-scale and multi-modal data sets
- The use of data visualization and interactive computing techniques to better engage humans in the analysis and understanding of biomedical data analytics
Candidates should have an advanced degree with relevant training or experience in Biostatistics, Epidemiology, Data Science, or an analogous area of study. In addition, candidates at advanced ranks should have an established and documented track record of service, extramural funding, peer-reviewed publications, teaching, and trainee mentorship.
Racial, ethnic, gender, and other forms of diversity will be prioritized as part of this faculty recruitment opportunity.
Compensation, start-up packages, and other financial support will be highly competitive and commensurate with candidate rank, experience, and performance.
Candidates should apply online through the faculty opportunities website with a cover letter, CV, leadership narrative, research statement, teaching statement, and at least three professional references. Questions about the position can be directed to Philip R.O. Payne, PhD, c/o Cynthia Marich (cmarich@wustl.edu).
Candidates will be evaluated on an ongoing basis, consistent with the needs and priorities of this search.
Cynthia Marich
3/8/2024
No end date
An Equal Opportunity Affirmative Action Employer
Washington University in St. Louis is committed to the principles and practices of equal employment opportunity and affirmative action. It is the university’s policy to recruit, hire, train, and promote persons in all job titles without regard to race, color, age, religion, gender, sexual orientation, gender identity or expression, national origin, veteran status, disability, or genetic information. Washington University seeks an exceptionally qualified and diverse faculty; women, minorities, protected veterans and candidates with disabilities are strongly encouraged to apply.