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Postdoctoral Scholar Computational Proteomics

Penn State University (Academic)Penn State University ParkPosted Jun 15, 2026
Research ScientistJunior
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Jun 15
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Job description

APPLICATION INSTRUCTIONS:

 

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 (Computational Proteomics/Mass Spectrometry)

The National Synthesis Center for Emergence in the Molecular and Cellular Sciences (NCEMS) at The Pennsylvania State University (ncems.psu.edu) seeks an outstanding scientist to fill a Postdoctoral Scholar position in Computational Proteomics and Mass Spectrometry housed within the Huck Institutes of Life Sciences at The Pennsylvania 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 and research staff at NCEMS, will conduct original research involving proteomics, mass spectrometry data analysis, protein interactions, protein complexes, post-translational modifications, structural proteomics, or systems-level analysis of molecular and cellular biology. Research may involve large-scale public proteomics datasets, data harmonization, cross-study integration, quantitative proteomics, crosslinking mass spectrometry, interactomics, protein structure and function, molecular assemblies, or biological networks.

The scholar’s independent work may use, extend, or contribute to NCEMS Working Group data products, analytical tools, computational workflows, and methodological innovations. The scholar will also collaborate with NCEMS Working Groups where their expertise can help advance shared research goals, strengthen proteomics-based discovery, and produce high-impact scientific outputs.

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 a proteomics’ relevant field is required. The successful candidate will have a strong foundation in proteomics, mass spectrometry, protein biochemistry, quantitative biology, bioinformatics, or related analytical and computational approaches. An ability to conduct research and produce scholarly outputs as demonstrated through publications in peer-reviewed journals. Candidates should have experience analyzing, interpreting, or integrating mass spectrometry-based proteomics data. Experience with mass spectrometry-based workflows is expected, such as bottom-up proteomics, quantitative proteomics, targeted or untargeted proteomics, post-translational modification analysis, crosslinking mass spectrometry, structural proteomics, protein-protein interaction analysis, or related approaches. Expertise in computational analysis of proteomics data is highly desirable. Experience with Python, R, or related scientific computing tools; proteomics software platforms; biological databases; data repositories; reproducible workflows; or large-scale public proteomics datasets is desirable. Familiarity with public proteomics repositories and resources, such as PRIDE, ProteomeXchange, MassIVE, PeptideAtlas, UniProt, or related resources, is also desirable. 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, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.

 

EEO IS THE LAW

Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.

 

Penn State is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university’s teaching, research, and service mission.

 

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Postdoctoral Scholar Computational Proteomics
Penn State University (Academic) · Penn State University Park
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