Huck Institutes of the Life Sciences NSF NCEMS Postdoctoral Scholar-Computational Proteomics/Mass Spectrometry

About the role

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.

Responsibilities

• 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.
• Collaborate with faculty and research staff at NCEMS to develop and utilize NCEMS Working Group data products, analytical tools, computational workflows, and methodological innovations.
• Contribute to the advancement of proteomics-based discovery and the production of high-impact scientific outputs.

Requirements

• A PhD in a proteomics-related field is required.
• 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.
• Experience analyzing, interpreting, or integrating mass spectrometry-based proteomics data.
• Experience with mass spectrometry-based workflows such as bottom-up proteomics, quantitative proteomics, targeted or untargeted proteomics, post-translational modification analysis, crosslinking mass spectrometry, interactomics, protein structure and function, molecular assemblies, or biological networks.
• Expertise in computational analysis of proteomics data, including experience with Python, R, or related scientific computing tools; proteomics software platforms; biological databases; data repositories; reproducible workflows; or large-scale public proteomics datasets.
• Familiarity with public proteomics repositories and resources such as PRIDE, ProteomeXchange, MassIVE, PeptideAtlas, UniProt, or related resources.
• Independent self-starters with a strong work ethic, strong interpersonal and written communication skills, and the ability to work well in a collaborative team environment.

Qualifications

A PhD in a proteomics-related 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.

Skills

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.

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.

Pay

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.

Schedule

This position is full time, on-site at the Penn State University Park campus. This position does not permit remote work.