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University of Minnesota – Post-doctoral Associate in Statistical Genetics/Omics
Company NameUniversity of Minnesota
Position TitlePost-doctoral Associate in Statistical Genetics/Omics
Company Information
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.
The University of Minnesota School of Public Health (SPH) is Minnesota's only school of public health, committed to improving the health and well-being of communities worldwide. Through innovative research, learning, and concrete action, we tackle today's biggest health challenges. SPH includes four academic divisions: Biostatistics & Health Data Science, Environmental Health Sciences, Epidemiology & Community Health, and Health Policy & Management.
Ranked nationally by the U.S. News & World Report as the #6 public school of public health, SPH is home to approximately 1,000 students, 130 faculty, and 400 staff across 25 internationally recognized centers. Our academic excellence is highlighted by our #3-ranked Master of Healthcare Administration (MHA) and #9-ranked Biostatistics programs.
For more info on the division, visit http://www.sph.umn.edu/academics/divisions/biostatistics/.
Duties and Responsibilities
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.
Position 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, especially GWAS/TWAS/MR or single-cell RNA-seq, or
2) machine learning/AI.
Salary RangeNIH pay scale
Application Instructions
Applicant Links:
External: https://hr.myu.umn.edu/jobs/ext/371397
Internal: https://hr.myu.umn.edu/jobs/int/371397
Starting date can be now but is negotiable. Position will remain open until filled.