Post-Doctoral Associate

Details

Posted: 07-Mar-24

Location: Minneapolis, Minnesota

Salary: 58,000.00 - 62,000.00

Categories:

Research - Laboratory/Non-Laboratory
Staff/Administrative

Additional Information:

3 openings available.

Internal Number: 360048

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

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 [email protected].
 

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