Post-Doctoral Associate

University of Minnesota - Office of Human Resources
Published
March 25, 2020
Location
Twin Cities, MN
Job Type
 

Description

Qualifications:
A PhD degree in Biostatistics, Statistics, Bioinformatics, Computer Science or a related field, strong computing/programming and communication skills, and interest in statistical genetics/genomics or Big Data/deep learning are required. Experience in statistical genetics and/or Big Data/deep learning is preferred, but not required.

About the Job

Post-doctoral Associate in Statistical Genetics/Omics or Deep Learning in the Division of Biostatistics, University of Minnesota

Multiple post-doc positions are available now (until filled) in the Division of Biostatistics at the University of Minnesota, Minneapolis, MN, USA. For more info, 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 within and outside the University of Minnesota. The research will focus on applying, developing and implementing novel statistical methods for association analysis and causal inference with GWAS/sequencing data, including integrative analysis of multiple types of omic/neuroimaging data, such as TWAS and IWAS. The candidate is also encouraged to expand or focus his/her research to/on deep learning for GWAS, omic and neuroimaging data. In addition to new methods development and evaluations, the job responsibilities include new methods and software development (mostly in R, or in Python/TensorFlow/Keras/PyTorch for deep learning) and documentation (60%), real data analysis for cardiovascular diseases and Alzheimer's disease (30%), and others (10%).

The positions are available immediately, and will remain open until filled. Each appointment is annually renewable for two years, possibly extendable to year 3, conditional on satisfactory performance and funding availability.

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-UOHR (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.

Background Check Information

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.

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