Post-Doctoral Associate

The Division of Biostatistics & Health Data Science (BHDS) in the School of Public Health at the University of Minnesota is seeking applications for a full-time Post-Doctoral Associate position.

Position Description: The Post-Doc will work with Dr. Joe Koopmeiners (https://directory.sph.umn.edu/bio/sph-a-z/joseph-koopmeiners), Dr. David Vock (https://directory.sph.umn.edu/bio/sph-a-z/david-vock), and their collaborators, and will be a member of the Minnesota Complex Innovative Design Research Lab (M-CIDeR; https://sites.google.com/umn.edu/m-cider/home). Research will focus on developing, implementing, and applying novel statistical methods for causal inference motivated by tobacco regulatory science, with a specific focus of understanding the public health impact of a nationwide nicotine standard for cigarettes. Specific topics include detecting and evaluating treatment effect heterogeneity, causally interpretable meta-analysis, data integration, and sensitivity analysis. The successful candidate will also have the opportunity to collaborate on the implementation of and methodological development of complex, innovative clinical trial designs through M-CIDeR. Specific responsibilities will include theoretical development, simulation studies, data analysis, interpretation of results, presentation of results, and manuscript preparation.

The School of Public Health (SPH) is committed to antiracism and anti-oppression and welcomes you to join us in our pursuit of building equity and driving justice. We particularly encourage applications from those who belong to groups that have been historically underrepresented in our School, including those who are American Indian, Black, Indigenous, and people of color, those with disabilities, veterans, and those from 2SLGBTQIA+ communities.

Duration: This annually renewable appointment is for 1-2 years, possibly extendable to year 3, conditional on satisfactory performance and funding availability.

Starting Date: Negotiable - the position will remain open until filled.

Salary range: $65,000 - $75,000 annually, dependent upon the selected candidate's relevant qualifications, experience, and internal equity.

Work Arrangements: The University of Minnesota endorses a "Work. With Flexibility." and we offer a flexible work environment that meets the needs of our students, faculty, staff, and partners we serve. The successful candidate will be provided University-configured equipment and supportive technology tools, however, they are expected to have access to a reliable internet connection for duties undertaken remotely. Work arrangements will be discussed during the interview. Onsite location: University Office Plaza, 2221 University Ave SE, Minneapolis, Twin Cities Campus - East-bank

Required Qualifications:

* PhD in biostatistics, statistics, or a related discipline

Preferred Qualifications:

* Prior research in causal inference or innovative trial design and analysis

BHDS (https://www.sph.umn.edu/academics/divisions/biostatistics/) currently includes 35 faculty members and 61 staff. Faculty regularly publish in the top methodological journals across all major biostatistical research areas, including causal inference, clinical trials, statistical genetics, bioinformatics, 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 disease, dentistry and periodontology, psychiatry/psychology, transplantation, chronic and neurodegenerative diseases, and tobacco control. The Division's Coordinating Center for Biometric Research (CCBR; https://ccbr.biostat.umn.edu/) is considered a field leader in clinical trial coordination and has been instrumental in designing and executing seminal vaccine and treatment trials in HIV/AIDS, Ebola, influenza, and COVID-19. Several Division faculty have leadership roles in major cross-disciplinary initiatives, including the Biostatistical Design and Analysis Center (BDAC) of the Clinical and Translational Science Institute and the Biostatistics Core of the Masonic Cancer Center (https://ctsi.umn.edu/services/statistical-support/biostatistical-support), the Analytics Core of the Masonic Institute for the Developing Brain (https://midb.umn.edu/research/analytics), the Innovative Methods and Data Science (https://med.umn.edu/clhss/activities/imds) and RapidEval Programs (https://med.umn.edu/clhss/activities/rapideval) in the Center for Learning Health Systems Sciences, and the Genomics Data Commons (https://www.sph.umn.edu/research/centers/genomic-data-commons/).

Pay Range: $65,000 - $75,000 annually; depending on education/qualifications/experience

Please visit the Benefits for Postdoctoral Candidates website for more information regarding benefit eligibility.

• Competitive wages, paid holidays, and generous time off
• Continuous learning opportunities through professional training
• Medical, dental, and pharmacy plans
• Healthcare and dependent care flexible spending accounts
• University HSA contributions
• Disability and life insurance
• Employee wellbeing program
• Financial counseling services
• Employee Assistance Program with eight sessions of counseling at no cost

Please note: At this time, the University's employment site is limited in how it collects applicant demographic information. Applicants are encouraged to provide their pronouns and/or preferred name within their attached application materials.

Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will have the opportunity to complete an online application for the position and attach a cover letter and resume.

Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section. This position requires that you attach cover letter and curriculum vitae.

Questions? Inquiries are welcome and should be directed (preferably along with CV) to Dr. Koopmeiners (koopm007@umn.edu) and Dr. Vock (vock@umn.edu) by email.

This position will remain open until filled.

To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647.

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

Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.

The University of Minnesota, Twin Cities (UMTC)

The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.

At the University of Minnesota, we are proud to be recognized by the Star Tribune as a Top Workplace for 2021, as well as by Forbes as Best Employers for Women and one of America's Best Employers (2015, 2018, 2019, 2023), Best Employer for Diversity (2019, 2020), Best Employer for New Grads (2018, 2019), and Best Employer by State (2019, 2022).