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| Job ID: 13976954 |
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| How to Apply: | To see employer contact information, log in or register. |
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| Job Title: | Post-Doctoral Associate |
| 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 ID354537
LocationTwin Cities
Job FamilyAcademic
Full/Part TimeFull-Time
Regular/TemporaryRegular
Job Code9546
Employee ClassAcad Prof and Admin
About the Job
Applications are invited for a full-time postdoctoral associate position in Biostatistics in the School of Public Health, University of Minnesota, Minneapolis, MN. For more information about the Biostatistics Division, visit https://www.sph.umn.edu/academics/divisions/biostatistics/.
The School of Public Health is in our mission and operations. In pursuit of this goal, we consider an individual's record working with students and colleagues from historically marginalized backgrounds and experience identifying and eliminating systemic barriers to academic success. Because the SPH and the Division seek to increase the diversity of its workforce, we particularly encourage applications from those who belong to groups that have been historically underrepresented in our discipline, including those who are Black, Indigenous, and people of color, those with disabilities, and those from LGBTQIA+ communities.
The post-doctoral associate will be mentored by Dr. Steffen Ventz (https://directory.sph.umn.edu/bio/sph-a-z/steffen-ventz) and will work with Dr. Ventz and his collaborators within and outside of the University of Minnesota. Potential research topics include: development of Bayesian methods for data-integration (EHR, clinical trial data, etc.), model-based clustering, multiple testing, functional data analysis, and the estimation of heterogeneous treatment effects. Areas of application may include cardiovascular diseases, cancer and HIV. In addition to methods development, the job responsibilities include writing first-author manuscripts, conducting simulation studies, possibly theory development, and real data analysis. The position will prepare the post-doctoral associate for an early-stage faculty career in academia, and the mentoring will emphasize these aspects (e.g., attendance of conferences and, if desired, working with graduate students on methods papers, etc).
This appointment is for 1-2 years, with a possible extension to year 3, contingent on satisfactory performance and funding availability.
Starting Date: Negotiable. The position is available immediately and will remain open until filled.
Questions? Inquiries are welcome and should be directed (along with a CV) to Dr. Steffen Ventz at ventz001@umn.edu
The Division of Biostatistics, School of Public Health, at the University of Minnesota has significant strengths in the areas of spatial and spatiotemporal statistics, especially as applied in environmental or climatological science and related health impacts, the development of innovative approaches, methods, and software for the manipulation and analysis of "big data" in the biomedical sciences, especially using machine learning techniques, and structural equation modeling (SEM), causal analysis, and other methods useful for accounting for latent factors in observational data. Current research in statistical methodology includes causal modeling, adaptive clinical trials, statistical genetics and bioinformatics including genomics and proteomics, analysis of spatial and longitudinal data, medical imaging methods, Bayesian methods, computer-intensive methods such as Markov chain Monte Carlo, survival analysis, and statistical data mining. Our faculty's methods grants complement our large, more collaborative research projects with investigators in the University's Academic Health Center.
At the present time, the Division has statistical and data coordinating centers for NIH-funded clinical trials networks in HIV/AIDS, Ebola and other infectious diseases, and in lung and cardiovascular disease. The Division also collaborates actively on research in cancer prevention and treatment, dentistry and periodontology, psychiatry/psychology, environmental and occupational health, health policy, chronic and neurodegenerative diseases, and smoking prevention. Multi-year grants and contracts for various Divisional projects total $70 million.
The Division of Biostatistics (www.sph.umn.edu/biostatistics) currently includes 37 graduate faculty, 55 staff and 5 post-docs. The Division offers MS, MPH, and PhD degrees as well as a Certificate in Applied Biostatistics, and interacts in teaching, advising and research with the University of Minnesota School of Statistics. At the present time, the Division has 111 graduate students (52 Doctoral, 59 Masters).
Qualifications
A PhD degree in Biostatistics, Statistics, Computer Science or a related field. Strong skills in communication and (computing/programming or statistical theory), experience in Bayesian data analysis. A working knowledge of some causal inference.
About the Department
Our Mission: The School of Public Health improves the health and well-being of populations and communities around the world through excellence in research and education, and by advancing policies and practices that sustain health equity for all.
Our Values:
Health is a Human Right
Upstream Action Saves Lives
Different Perspectives Make Us Stronger
Our Future Depends On Education
Bigger Imaginations Yield Better Results
What sets Our School apart?
Ranked Among the Best in the Nation:
#6 public school of public health
#2 Master of Healthcare Administration (MHA) program
#9 biostatistics program
Commitment to Antiracism in our school and our world.
We take the community-building wisdom of our partners to strengthen our capacity.
Our Profile:
1000+ current students, 29% American Indians & students of color, 22 Countries represented by our students
800 employees (faculty, graduate assistants, academic/administrative professionals, civil service, and labor-represented) across four divisions and the school-wide serving units.
Our Research:
#2 Largest research portfolio at UMN
$137.6M Research grants and contracts (FY22)
#2 NIH funding among UMN schools and colleges
$1.1M Average grant funding per faculty member
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 includes:
Competitive wages, paid holidays, and generous time off
Continuous learning opportunities through professional training and degree-seeking programs supported by the
Low-cost medical, dental, and pharmacy plans
Healthcare and dependent care flexible spending accounts
University HSA contributions
Disability and employer-paid life insurance
Employee wellbeing program
Excellent retirement plans with employer contribution
Public Service Loan Forgiveness (PSLF)
Financial counseling services
Employee Assistance Program with eight sessions of counseling at no cost
Please visit the for more information regarding benefits.
For more information regarding benefits specific to Postdoctoral Associates, please visit:
How To Apply
To be considered for this... 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 72720693_4 when applying |
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