Post-Doctoral Associate

University of Minnesota

Job Description

Full job description

Required Qualifications:
A PhD degree in Biostatistics, Statistics, Computer Science or a related field, strong computing/programming and communication skills, and previous research experience in (I) at least one of 1) statistical genetics/genomics/omics, 2) neuroimaging or medical imaging, and 3) machine learning/deep learning, and (II) a related topic (e.g. Big Data or computing).

Questions? Inquiries are welcome and should be directed (preferably along with CV) to Dr. Wei Pan by email at panxx014@umn.edu.

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 LGBTQIA+ communities.

The School of Public Health division of Biostatistics and Health Data Science (BHDS) is seeking applications for a full-time Post-Doctoral Associate (9546 Post-Doctoral Associate) position. 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/), Dr. Xiaotong Shen (http://users.stat.umn.edu/~xshen/) and other collaborators in the University of Minnesota. The research will focus on applying, developing and implementing novel statistical methods for causal inference, integrative data analysis or/and machine/deep learning with GWAS/sequencing data and multiple types of omic/neuroimaging 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.

Starting Date: This Post-Doctoral is available now (until filled).

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

Salary range: $58,000-$62,000

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 23 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, #2 largest research portfolio at the UMN, #2 NIH funding among UMN schools and colleges, $137.6M in research grants and contracts (FY22), 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.

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).

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