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Huck Institutes Life Sciences NSF NCEMS Postdoctoral Scholar

Remote / Online - Candidates ideally in
University Park, Will County, Illinois, 60484, USA
Listing for: Penn State University
Full Time, Remote/Work from Home position
Listed on 2026-10-11
Job specializations:
  • Research/Development
    Research Scientist, Postdoctoral Research Fellow, Biomedical Science, Data Scientist
Salary/Wage Range or Industry Benchmark: 54000 - 70000 USD Yearly USD 54000.00 70000.00 YEAR
Job Description & How to Apply Below
Position: Huck Institutes of the Life Sciences NSF NCEMS Postdoctoral Scholar
Location: University Park

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 termlengthdiscussed willbebasedonuniversityneed,performance,and/oravailabilityoffunding.

POSITION SPECIFICS
Postdoctoral Scholar (Computational Biology)

The National Synthesis Center for Emergence in the Molecular and Cellular Sciences (NCEMS) at Penn State University (ncems.psu.edu) seeks an outstanding scientist to fill a Postdoctoral Scholar position in Computational Biology housed within the Huck Institutes of Life Sciences at Penn State University.

NCEMS is an NSF-funded interdisciplinary research center positioned at the interface of data science, molecular and cellular biology, and quantitative physical sciences. The Center provides leadership in the integration of diverse, publicly available datasets, to gain insights into emergent phenomena in molecular and cellular biology.

About the Position

The successful candidate, in collaboration with faculty at NCEMS, will conduct original computational biology research involving large-scale public datasets, multi-omics integration, biological data harmonization, systems-level analysis, or related areas that synergize with the scientific goals, data products, and methodological innovations of NCEMS. This position is designed to support the scholar’s development as an independent researcher while embedding them in a highly collaborative synthesis science environment.

This position is full time, on-site at the Penn State University Park campus. This position does not permit remote work. This is a term appointment funded for one year from the date of hire with an excellent chance for multiple years of renewal based upon mutual agreement.

Requirements

A PhD in Computational Biology or Systems Biology is required. The successful candidate will have a strong foundation in computational analysis of molecular and cellular biology data. Expertise in Python and/or R. A demonstrated ability to conduct independent research as demonstrated through a strong track record of peer-reviewed publications. Experience working with large-scale biological datasets, including genomic, transcriptomic, proteomic, metabolomic, lipidomic, epigenomic, interactomic, structural, glycomic, or single-cell multi-omics data a plus.

Familiarity with biological databases and public data repositories, such as NCBI, GEO, SRA, ENA, Uni Prot, etc. Candidates must be independent self-starters, have a strong work ethic, strong interpersonal and written communication skills, and the ability to work well in a collaborative team environment.

Application Process

Applications must be submitted electronically in a single PDF and should include:

  • A cover letter
  • Curriculum vitae (CV)
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.

For more detailed information, please visit our Benefits Page. (

Note:

For Postdoctoral benefits, please see our Postdoctoral Benefits page.)

CAMPUS SECURITY CRIME STATISTICS

Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention,…

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