Research Assistant Professor

Job description

Job location: Miami, FL


Employment Type: Full-time
Posted data: 2019-02-20
Req: R100029797
Current Employees:

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The University of Miami (UM) is considered among the top tier institutions of higher education in the U.S. for its academic excellence, superior medical care, and cutting-edge research. At the U, we are committed to attracting a talented workforce to support our common purpose of transforming lives through teaching, research, and service. Through our values of Diversity, Integrity, Responsibility, Excellence, Compassion, Creativity and Teamwork (DIRECCT) we strive to create an environment where everyone contributes in making UM a great place to work. We are one of the largest private employers in Miami-Dade County; home to more than 13,400 faculty and staff from all over the world.

The Division of Biostatistics in the Department of Public Health Sciences is seeking an exceptional candidate with statistical experience for a non-tenure research track assistant professor position.

The division aims to provide advance scientific knowledge to benefit individual and population health by creating, disseminating, and implementing rigorous, innovative statistical methodologies across the entire spectrum of biomedical research. The candidate is expected to have interest in various areas of biostatistics, including but not limited to innovative machine learning methods, cancer related outcome analyses, statistical genomics/proteomics, and methods for big data.

Participation in DPHS and MSOM research programs further enhances the efforts of division faculty, staff, and students to fulfill UM’s academic mission in education, research, and service.

The selected individual will be a faculty member in the Division of Biostatistics and will be engaged in both methodological and collaborative research with existing faculty, have a commitment to team science, and possess effective oral and written communication skills. The selected individual will also be expected to 1) teach within the University of Miami’s MPH and PhD Graduate Programs in Public Health and/or Biostatistics and 2) advise MPH and PhD Biostatistics students academically.

Candidates must possess a doctorate in biostatistics or statistics. They should be emerging scholars with evidence of a growing body of outstanding scholarship and a strong commitment to teaching. Candidate is also expected to develop and obtain an externally funded, independent research.

Candidates should have the ability to:

Build and develop an innovative biostatistical program ofresearch.

Obtain externalfunding.

Represent the Division, Department, and the University at professional meetings in local communities, nationally, andinternationally.

Motivate students in the MPH, MSPH and PhD graduate programs within the Department with innovative courses created to engage student in strategicthinking.

Publish seminal research findings in refereed, high impact journals, book chapters andbooks.

Collaborate with other faculty to obtain research funding for trans-disciplinary research.

Assist in the development of strategic partnerships with Departments at the University, particularly within the Medical School, but also withDepartments, Centers, and Institutes throughout theUniversity.

Qualifications:

PhD degree with graduate training in biostatistics orstatistics. Evidence of statistical methodologypublications. Effective oral and written communication skills including teaching experience, presentations at scientific meetings, and a significant publication record in peer- reviewed biomedicine publications, especially with emphasis on machine learning and bigdata. Demonstrated ability to lead innovative research projects to successfulconclusions. Evidence of being able to secure and sustain extramuralfunding.

The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information.

 

 

 

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Job No:
Posted: 2/21/2019
Application Due: 9/1/2019
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