Post-Doctoral Associate in Statistical Genetics/Omics
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![]() United States, Minnesota, Saint Paul | |
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Apply for Job Job ID
369329
Location
Twin Cities
Job Family
Academic
Full/Part Time
Full-Time
Regular/Temporary
Regular
Job Code
9546
Employee Class
Add to Favorite Jobs Email this Job About the Job
The School of Public Health Division of Biostatistics and Health Data Science (BHDS) is seeking applications for up to three full-time Post-Doctoral Associate (9546 Post-Doctoral Associate) positions. For more info on the division, visit http://www.sph.umn.edu/academics/divisions/biostatistics/. The Post-Doc will work with Dr. Wei Pan (https://directory.sph.umn.edu/bio/sph-a-z/wei-pan or http://www.biostat.umn.edu/~weip/),and his collaborators in or outside the University of Minnesota. The research will focus on applying, developing and implementing novel statistical and computational methods for integrative data analysis, causal inference, and machine/deep learning with GWAS/sequencing data and other types of omic data, as in Mendelian randomization and TWAS. In addition to new methods development and evaluations, the job responsibilities include software development (mostly in R, or in Python/TensorFlow/Keras/PyTorch for deep learning), possibly theory development, simulation studies, real data analysis, and writing manuscripts. Duration: This appointment is for 1 year, may be extended for a second and/or third year depending on satisfactory performance and funding availability. Starting Date: Negotiable. Position will remain open until filled. Annual Salary: Based on NIH NRSA postdoctoral stipend levels. Qualifications
Required Qualifications: A PhD degree in Biostatistics, Statistics, Computer Science or a related field who possesses strong interest in genetics/biomedical applications, and strong computing/programming and communication skills. Essential qualifications include the ability to quickly learn new things and work independently, along with previous research experience in at least one of the following areas: 1) statistical genetics/genomics/omics, or 2) deep/machine learning. About the Department
The University of Minnesota School of Public Health improves the health and wellbeing of populations and communities around the world by bringing innovative research, learning, and concrete actions to today's biggest health challenges. SPH includes four academic divisions and 29 internationally recognized centers and is home to roughly 1,025 students, 130 tenured/tenure-track and contract faculty, and 450 staff. SPH is a research powerhouse: #1 level of research funding per capita at UMN, #3 largest research portfolio at the UMN, #2 NIH funding among UMN schools and colleges, and $1.1M average grant funding per faculty member. The school is ranked nationally by the U.S. News & World Report, #6 public school of public health, and offers more than 20 leading master's, doctoral, and certificate programs, with its Master of Healthcare Administration (MHA) program ranked #2 and its Biostatistics program ranked #9. Pay and Benefits
Pay Range: Based on NIH NRSA postdoctoral stipend levels; depending on education/qualifications/experience. * Postdoc No Experience: $62,232 Please visit the Benefits for Postdoctoral Candidates website for more information regarding benefit eligibility.
How To Apply
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 will remain open until filled. To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647. Diversity
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 Employment Requirements
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. About the U of M
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). |