The Division of Biostatistics and Bioinformatics in the Department of Epidemiology & Public Health, with the Departments of Neurosurgery and Neurology, at the University of Maryland School of Medicine invite applications for an Assistant to Associate Professor specializing in biostatistics/bioinformatics as applied to clinical and pre-clinical data.
The successful candidate demonstrates success by publishing and in engaging multidisciplinary strategies to address meritorious research questions through the application of statistics and data science. The Candidate will engage in collaborative research that draws upon the expertise of researchers in the neurosciences by submitting grant applications, designing experiments, analyzing data and publishing scholarly articles. We are interested in candidates who have a demonstrated commitment to excellence in teaching/mentoring, research and service, which contribute to an equitable, inclusive and diverse scholarly environment. Excellent oral and written communication skills are required.
The candidate will be expected to contribute to ongoing research projects, as well as develop their own research program over time, and additionally will provide guidance/direction to residents and medical students. Expected rank for this position will be Assistant Professor or higher, however, final rank and tenure status will be commensurate with selected candidate's experience. Secondary appointments with the Departments of Neurosurgery and Neurology are expected.
For immediate consideration, please provide a letter of interest referencing position # 03-307-159, a CV, a statement summarizing research interests and teaching experience, a separate statement describing past experience in activities that promote diversity and/or plans to make future contributions, three PDF copies of your most significant publications, and names and contact information of three references. Complete application and upload materials to the following link: https://umb.taleo.net/careersection/umb_faculty+and+post+docs/jobsearch.ftl?lang=en&portal=8100108441
Search for Job Number 2000014N.
For additional questions after application, please email Susan Holt at SHOLT@som.umaryland.edu.
UMB is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law or policy.
Candidates must have a doctoral degree in Biostatistics, Statistics or Epidemiology to qualify for a faculty position at the rank of Assistant or Associate Professor (non-tenure track or tenure track). Candidates with experience in applied biostatistics, including expertise in study design, neuroimaging data analysis and analysis of high-dimensionality 'big data' from high-throughput bioassays, and the use and manipulation of clinical datasets, preferred. Candidates with a record of extramural research funding may be given priority.
Organization: School of Medicine - Clinical Departments
Job Posting: Dec 1, 2020
Internal Number: 162541
About University of Maryland, Baltimore
The University of Maryland, Baltimore (UMB) is the State's public health, law and human services university devoted to excellence in professional and graduate education, research, patient care, and public service. As a diverse community of outstanding faculty, staff and students, and using state-of-the-art technological support, we educate leaders in health care delivery, biomedical science, global health, social work and the law. We emphasize interdisciplinary education and research in an atmosphere that explicitly values civility, diversity, collaboration, teamwork and accountability. By conducting internationally recognized research to cure disease and to improve the health, social functioning and just treatment of the people we serve, we foster economic development in the City, State, and nation. We are committed to ensuring that the knowledge we generate provides maximum benefit to society and directly enhances our various communities.