Postdoctoral Scholar - Public Health Sciences

Bordenstein Lab

Hershey, Pennsylvania, US
Hybrid
Statistical genomic methods
Multi-omics datasets analysis
Novel statistical models
The overall goal is to develop and apply statistical genomic methods to analyze multi-omics datasets for understanding complex disease etiology and develop and apply novel statistical models to analyze EHR data

Job Summary

  • The overall goal is to develop and apply statistical genomic methods to analyze multi-omics datasets for understanding complex disease etiology and develop and apply novel statistical models to analyze EHR data.
  • As a Postdoctoral Scholar, you will be involved in reviewing literature, designing and implementing methods, analyzing data, summarizing study results, and drafting manuscripts.
  • Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being.

Matching Summary

The overall goal is to develop and apply statistical genomic methods to analyze multi-omics datasets for understanding complex disease etiology and develop and apply novel statistical models to analyze EHR data.

Skills & Requirements

Must-have

  • statistical genomic methods
  • multi-omics datasets analysis
  • novel statistical models
  • EHR data analysis
  • programming skills
  • collaboration skills
  • communication skills

Nice-to-have

  • research background in methodology
  • deep learning expertise
  • bioinformatics methods in -omics data

Key Requirements

  • Ph.D. in statistics/biostatistics, computer science, bioinformatics, or related disciplines
  • Strong interest in statistical genomics
  • Research background in machine/deep learning
  • Experience in bioinformatics methods

Work Rights

Not specified

Tailored Resume

Cover Letter