Job Listing
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| Job ID: 13911001 |
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| Job Location: |
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| How to Apply: | To see employer contact information, log in or register. |
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| Job Title: | Open Rank Professor Biostatistics MCC (Contract) |
| Work Type: | Work Days: Work Vary: Yes , Shift: Other, Hours Per Week: 40, Work Type: Regular |
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| Salary Offered: | Unspecified |
| Benefits: | Unspecified. |
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| Physical Required: | Unspecified |
| Drug Testing Required: | Unspecified |
| Education Required: | Bachelor's Degree |
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| Experience Required: | Unspecified |
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| Required Skills: | Please see the job description for information about required job skills. |
| Preferred Skills: |
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| Job Description: |
Job ID358368
LocationTwin Cities
Job FamilyAcademic
Full/Part TimeFull-Time
Regular/TemporaryRegular
Job Code9403
Employee ClassInstr Fac/TC and Coord Cmp
About the Job
The Division of Biostatistics and Health Data Science, School of Public Health, at the University of Minnesota has an opening for a non-tenure track (contract) open rank (assistant/associate/full) faculty position who will be a member of the Biostatistics Core of the Masonic Cancer Center (MCC) and collaborate on cancer-related projects with investigators in the basic, clinical, and population sciences. Applicants must have a PhD in biostatistics, statistics, or a closely related field. Appointment as an associate or full professor is dependent upon the candidate's clear and demonstrable evidence of sustained success in scholarly activities including: strong publication record, track-record of obtaining external funding, and successful contribution as a team-scientist in cancer research or other areas. We are interested in applicants who have strong interests in collaboration with biomedical investigators, particularly those with some experience and a resume strong enough to support grant applications. Priority will be given to those who are willing to build long-term working relationships with Cancer Center members, as well as short-term consulting projects and protocol reviews.
A successful candidate will be primarily responsible for participating in collaborative research with investigators in the Cancer Center, obtaining external funding through collaborative grant applications, and providing service to the Cancer Center through protocol review and data monitoring of ongoing trials. The candidate will also be expected to pursue data-driven statistical methods research, participate in the Division's graduate program through teaching and advising, and serve on division and school level committees.
We are strongly committed to recruiting, mentoring, and retaining faculty with a diversity of experiences and support the advancement of the School of Public Health's recently adopted Strategic Plan for Antiracism (). We recognize that scholars from historically disadvantaged groups may not have had the same access to opportunities and may have faced substantial barriers on their academic journey, and hence we are committed to carrying out a holistic evaluation of all applicants for the position.
Qualifications
Applicants must have a PhD in biostatistics, statistics, or a closely related field.
About the Department
The Division of Biostatistics and Health Data Science () currently includes 36 faculty members and 60 staff. Faculty regularly publish in the top methodological journals across all major research areas, including causal inference, clinical trials, statistical genetics and bioinformatics including genomics and proteomics, analysis of spatial and longitudinal data, biomedical imaging, survival analysis, meta-analysis and data synthesis, and mobile health. Division faculty are active in a wide range of collaborative research projects including high-profile studies of cancer, cardiovascular disease, infectious diseases, dentistry and periodontology, psychiatry/psychology, transplantation, chronic and neurodegenerative diseases, and tobacco control. The Division's Coordinating Center for Biometric Research (CCBR; is considered a field leader in infectious disease clinical trial coordination and has been instrumental in designing and executing seminal vaccine and treatment trials in HIV/AIDS, Ebola, influenza, and COVID-19. Division faculty also have leadership roles in major collaborative initiatives, including the Biostatistical Design and Analysis Center (BDAC) of the Clinical & Translational Science Institute and the Biostatistics Core of the Masonic Cancer Center (), the Analytics Core of the Masonic Institute for the Developing Brain (), the Innovative Methods in Data Science Program () and RapidEval Program () in the Center for Learning Health Systems Sciences, and the Genomics Data Commons (
The Division offers MS and PhD degrees in Biostatistics and a MPH in Public Health Data Science, with a current enrollment of 132 graduate students (60 Doctoral, 72 Masters). Students come to our programs from top undergraduate and graduate institutions across the U.S. and around the world, attracted by the quality of our faculty, a reasonable student-faculty ratio, our dedication to student success, and the modest cost of living in the Twin Cities. Division students regularly win prestigious student paper awards at top national and international conferences; approximately half pursue careers in academia, and half choose paths in private industry and government.
Founded in 1991, the Masonic Cancer Center (MCC) received National Cancer Institute designation in 1998, one of only 53 institutions in the United States and two in Minnesota to hold that designation. It is part of the health sciences at the University of Minnesota, which includes the U of M Medical School, the School of Dentistry, Nursing , and Public Health, and the Colleges of Pharmacy and Veterinary Medicine. MCC's research partners include the University's Stem Cell Institute, Center for Immunology, Center for Magnetic Resonance Imaging, Clinical and Translational Science Center, and Physical Sciences in Oncology Center. MCC's clinical research partners include the University of Minnesota Medical Center and the University of Minnesota Masonic Children's Hospital.
The Biostatistical Design and Analysis Center (BDAC) provides statistical and data management support, from study design to final analysis and publication of results. The MCC Biostatistics Core is integrated into BDAC and the two domains work together as an integrated team. The MCC Biostatistics Core currently consists of 8 faculty from the Division of Biostatistics in the School of Public Health and 6 Research Staff biostatisticians at both the MS and Ph.D. level.
The Division is located on the main University of Minnesota campus, which straddles the Mississippi River and is centrally located in Minneapolis. Campus is served by plentiful public transportation, including a light rail line stop across the street from Division offices. On-campus parking is also readily available on a contract or daily fee basis. The Twin Cities of Minneapolis and St. Paul offer all the usual amenities of a major metropolitan area; one notable highlight is the urban parks system, which has frequently been ranked #1 in the nation. Livable neighborhoods are diverse and widespread, and housing prices remain moderate compared to other similarly sized metro areas. The salary range for these positions will be very competitive, and the University of Minnesota offers excellent fringe benefits.
Benefits
Working at the University
At the University of Minnesota, you'll find a flexible work environment and supportive colleagues who are interested in lifelong learning. We prioritize work-life balance, allowing you to invest in the future of your career and in your life outside of work.
The University also offers a comprehensive benefits package that... For full info follow application link.
The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds.
The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu.
Refer to ID 77078415_1 when applying |
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