Huck Institutes Life Sciences NSF NCEMS Postdoctoral Scholar-Computational Proteomics​/Ma

Postdoctoral Scholar (Computational Proteomics / Mass Spectrometry)

The National Synthesis Center for Emergence in the Molecular and Cellular Sciences (NCEMS) at The Pennsylvania State University is seeking an outstanding scientist for a one‑year term Postdoctoral Scholar position in Computational Proteomics and Mass Spectrometry. The position is housed within the Huck Institutes of Life Sciences and will be based at Penn State University Park, requiring on‑site presence (remote work not permitted).

As a scholar, you will conduct original, interdisciplinary research in collaboration with faculty, staff, and working group partners. Your projects will involve the analysis and integration of proteomics and mass spectrometry data to explore protein interactions, post‑translational modifications, structural biology, and systems‐level cellular mechanisms. You may work with large public datasets, develop computational workflows, and contribute to NCEMS data products and analytical tools.

• Design and execute independent research projects in proteomics and mass spectrometry.
• Perform data analysis, harmonization, and integration of large‐scale public proteomics datasets.
• Develop and apply computational methods and workflows, including workflows in Python, R, or similar tools.
• Collaborate with NCEMS Working Groups to advance shared research goals and produce high‑impact scientific outputs.
• Publish findings in peer‑reviewed journals and present at national and international conferences.

• Ph.D. in a proteomics‑related field (proteomics, mass spectrometry, protein biochemistry, quantitative biology, bioinformatics, or related computational approaches).
• Strong foundation in proteomics, mass spectrometry, and protein biochemistry.
• Demonstrated ability to conduct independent research and produce scholarly outputs, evidenced by peer‑reviewed publications.
• Experience with mass spectrometry–based workflows (bottom‑up, quantitative, targeted/untargeted, crosslinking, structural, protein interaction).
• Proficiency in computational analysis of proteomics data using Python, R, or comparable scientific computing tools.
• Familiarity with public proteomics repositories (PRIDE, Proteome Xchange, MassIVE, Peptide Atlas, Uni Prot, etc.) and large‑scale public datasets.
• Strong work ethic, independent self‑starter, excellent communication skills, and ability to work collaboratively.

Penn State provides a competitive benefits package for full‑time employees, including health, dental, vision, retirement, and other standard benefits. For detailed information, see Penn State’s benefits pages.

Penn State is an equal‑opportunity employer committed to diversity, equity, and inclusion. Employment is not limited by race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Employment will require successful completion of background checks in accordance with University policies.