University of Utah
Assistant or Associate Professor, Biostatistics
University of Utah, Salt Lake City, Utah, United States, 84193
Position InformationPosition/Rank:
Rank Dependent on QualificationsDepartment:
01721 - PHS - BIOSTATISTICSCity:
Salt Lake City, UTTrack:
Track Dependent on QualificationsNew Position to Begin:
DetailsThe
Division of Biostatistics
in the
Department of Population Health Sciences
(PHS) at the
University of Utah School of Medicine
has openings for Assistant or Associate Professor-level faculty. We are looking for candidates who will collaborate with biomedical researchers, support and develop grant proposals, teach in the Ph.D. Biostatistics program, advise graduate students, and perform methodological research. We are particularly interested in candidates who possess the research skills and experience required to successfully become leaders in multi-disciplinary research teams within the institution and in national and international research networks as well as pursue independent and collaborative methodological research in Biostatistics.Faculty members in the Division of Biostatistics collaborate closely and hold affiliations with the Huntsman Cancer Institute (HCI) and Study Design and Biostatistics Center (SDBC) respectively, depending on interests and experience. The University of Utah School of Medicine is investing heavily in data science through the DELPHI Initiative.Methodological interests and experience are desired in the following areas:‘omics (e.g., metabolomics, transcriptomics, metagenomics)data integrationsocial/behavioral sciencemachine learningintensive longitudinal data analysisfunctional data analysisstatistical computingnovel study designSubstantive interests and experience are desired in implementation science, digital health, and cancer.We seek candidates who share the department’s commitment to health equity and who will work to ensure diversity and inclusion in their research team. Women and underrepresented minorities are especially encouraged to apply.Minimum Qualifications:A Ph.D. in biostatistics or a related discipline is required, as well as a demonstrated excellence in collaborative and methodological research. Post-doctoral training and/or experience is desired.Required materials:Letter of interest (cover letter)CVResearch statementTeaching statementExemplar publication or pre-pub that highlights expertise in biostatisticsQuestions about these positions should be directed to the search committee chair:
Daniel Scharfstein
.EEO/Non-Discrimination Information:All qualified individuals are strongly encouraged to apply. Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.The University of Utah is an Affirmative Action/Equal Opportunity employer and does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran’s status.
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Rank Dependent on QualificationsDepartment:
01721 - PHS - BIOSTATISTICSCity:
Salt Lake City, UTTrack:
Track Dependent on QualificationsNew Position to Begin:
DetailsThe
Division of Biostatistics
in the
Department of Population Health Sciences
(PHS) at the
University of Utah School of Medicine
has openings for Assistant or Associate Professor-level faculty. We are looking for candidates who will collaborate with biomedical researchers, support and develop grant proposals, teach in the Ph.D. Biostatistics program, advise graduate students, and perform methodological research. We are particularly interested in candidates who possess the research skills and experience required to successfully become leaders in multi-disciplinary research teams within the institution and in national and international research networks as well as pursue independent and collaborative methodological research in Biostatistics.Faculty members in the Division of Biostatistics collaborate closely and hold affiliations with the Huntsman Cancer Institute (HCI) and Study Design and Biostatistics Center (SDBC) respectively, depending on interests and experience. The University of Utah School of Medicine is investing heavily in data science through the DELPHI Initiative.Methodological interests and experience are desired in the following areas:‘omics (e.g., metabolomics, transcriptomics, metagenomics)data integrationsocial/behavioral sciencemachine learningintensive longitudinal data analysisfunctional data analysisstatistical computingnovel study designSubstantive interests and experience are desired in implementation science, digital health, and cancer.We seek candidates who share the department’s commitment to health equity and who will work to ensure diversity and inclusion in their research team. Women and underrepresented minorities are especially encouraged to apply.Minimum Qualifications:A Ph.D. in biostatistics or a related discipline is required, as well as a demonstrated excellence in collaborative and methodological research. Post-doctoral training and/or experience is desired.Required materials:Letter of interest (cover letter)CVResearch statementTeaching statementExemplar publication or pre-pub that highlights expertise in biostatisticsQuestions about these positions should be directed to the search committee chair:
Daniel Scharfstein
.EEO/Non-Discrimination Information:All qualified individuals are strongly encouraged to apply. Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.The University of Utah is an Affirmative Action/Equal Opportunity employer and does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran’s status.
#J-18808-Ljbffr