APPLICATION INSTRUCTIONS:

• CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.

• CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.

• If you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants.

 

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.

This is a term position; length of the term will be discussed during the interview process. Continuation past the term length discussed will be based on university need, performance, and/or availability of funding.

 

POSITION SPECIFICS

Postdoctoral Scholar of Machine Learning and Statistical Genomics

Description:

The Department of Public Health Sciences is seeking a postdoctoral scholar. The overall goal is to: (1) develop and apply statistical genomic methods to analyze multi-omics datasets for understanding complex disease etiology and (2) develop and apply novel statistical models to analyze EHR data. The postdoctoral fellow, under the mentorship of Dr. Dajiang Liu (https://dajiangliu.blog), is expected to work on at least one of these objectives.  

Requirements:

• A Ph.D. in statistics/biostatistics, computer science, bioinformatics, or other related disciplines is required.
• Strong interest, research background and experience in the methodology research in statistical genomics,  machine/deep learning, bioinformatics methods in -omics data are preferred.
• Demonstrated evidence of excellent programming, collaboration, and communication skills.

Responsibilities:

As a Postdoctoral Scholar, they will be involved in:

• reviewing literature, 
• designing and implementing methods, 
• analyzing data, summarizing study results, and 
• drafting manuscripts. 

They will work closely with our team to publish research findings in high-impact journals and present at scientific conferences.

 

 

BACKGROUND CHECKS/CLEARANCES

Employment with the University will require successful completion of background check(s) in accordance with University policies.

 

 

 

BENEFITS

Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being.

 

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