Mid-Atlantic HERC

Job Number/Taleo: 260000B2

FRIS: 03-307-181

FRIS: 03-307-182

OPEN RANK: Assistant to Associate Professor in Biostatistics

The Division of Biostatistics and Bioinformatics within the Department of Epidemiology and Public Health (EPH) at the University of Maryland School of Medicine is recruiting two full-time, non-tenure track/tenure track Assistant or Associate Professor with interests in analysis with real-world data, high-dimensional data, causal inference, innovative clinical trials analysis, and/or machine learning (ML)/artificial intelligence (AI) to join our thriving research environment.

The successful candidate will hold a primary appointment in the Division of Biostatistics and Bioinformatics within EPH at the University of Maryland School of Medicine. Applicants must have a Ph.D. or equivalent in Biostatistics, Statistics, Computer Science, or Applied Mathematics. Generous and competitive salary and start-up packages commensurate with career stage and experience will be provided.

The Department of Epidemiology and Public Health is home to strong and innovative research programs in biostatistics and bioinformatics, gerontology, cancer epidemiology, genomic and infectious disease epidemiology, translational toxicology, preventive medicine, and population health.

The Division of Biostatistics and Bioinformatics hosts multidisciplinary research projects that span topics such as hip fracture recovery, cognitive functioning and dementia, vaccine efficacy and effectiveness, mental health interventions, target trial emulation, neuroimaging, -omics data analysis and coordination, transportation statistics, and administrative claims and electronic health record data analysis. Collaboration with other faculty in the department, across the School of Medicine, University of Maryland Campuses is encouraged. Within the division, there is ample opportunity to teach, train, and mentor the next generation of scientists (pre- and post-doctoral), medical students, and students in other professional schools.

Preference will be given to individuals who have demonstrated a record of supporting team science grants, establishing their own cutting-edge research, securing external peer-reviewed funding, and developing and teaching biostatistics courses in topics such as probability, inference, advanced inference, or advanced linear models. The University of Maryland, Baltimore offers a rich research environment and venue to impact epidemiology and biomedical research through methodological innovation. Essential qualities of the successful candidate include the ability to professionally and conscientiously support and manage complex data analysis projects in collaborative settings across teams of researchers and demonstrated excellence in teaching. Desired qualities include: 1) clinical trial expertise, 2) experience with team science grants and 3) a record of cutting-edge research in biostatistics and ML/AI. In sum, the ideal candidate will be collaborative, an outstanding educator, and have methodological versatility, with an interest in the intersection of clinical trials, biostatistics and ML/AI as applied to epidemiology and biomedical research.

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.

Expected Salary Range: $110,000-$228,000. The referenced salary range reflects base pay, which is based on faculty rank and years in rank. This salary range does not include all components of the departmental faculty compensation program or pay from participation in departmental variable compensation programs. Therefore, the actual compensation paid to the selected candidate may vary from the salary range stated herein. For more information, please contact the hiring department. The referenced salary range represents the minimum and maximum salaries for this position and is based on the University of Maryland School of Medicine's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University.

UMB offers a comprehensive benefits package that prioritizes wellness, work/life balance, and professional development. This position offers a retirement program that must be selected and is effective on your date of hire. Faculty receive a generous leave package that includes over 4 weeks of vacation accrued each year, paid holidays, personal leave, unlimited accrual of sick time, and comprehensive health insurance; professional learning and development programs; tuition remission for employees and their dependents at any University System of Maryland school.

For immediate consideration, qualified applicants should submit a single PDF file containing a short cover letter, a detailed curriculum vitae, contact information for three or more references, up to three reprints of representative publication(s), and a description of future research, teaching, and scientific interests to the following link https://www.umaryland.edu/hr/careers-at-umb/ Search for job number #260000B2.

For additional questions after application, please email Alesha Dobos at Adobos@umaryland.edu

UMB is an equal opportunity 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. If you need a reasonable accommodation for a disability for any part of the employment process, please submit an online request or contact HRDiversity@umaryland.edu. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.

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