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 software development (mostly in R, or in Python/TensorFlow/Keras/PyTorch for deep learning), simulation studies, real data analysis, and writing manuscripts.

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

For preliminary inquiries, you may send your CV to panxx014@umn.edu

Questions?
Inquiries are welcome and should be directed to Dr. Wei Pan by email at panxx014@umn.edu

 

The University of Minnesota offers a comprehensive benefits package including:

·         Competitive wages, paid holidays, vacation and sick leave
·         Low cost medical, dental, and pharmacy plans
·         Health care and dependent daycare flexible spending accounts
·         Excellent retirement plans with employer match
·         Disability and employer paid life insurance
·         Wellbeing program with reduced insurance premiums
·         Tuition reimbursement opportunities covering 75%-100% of eligible tuition
·         Student loan forgiveness opportunity
·         Opportunities for growth and promotion
·         Employee Assistance Program

For more information regarding benefits: https://humanresources.umn.edu/new-employees/benefits-summaries