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

Penn State University•University Park, IL

8d•Onsite

About The Position

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. 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.

Requirements

A PhD in a proteomics’ relevant 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 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.
Independent self-starters.
Strong work ethic.
Strong interpersonal and written communication skills.
Ability to work well in a collaborative team environment.

Nice To Haves

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.

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.
Use, extend, or contribute to NCEMS Working Group data products, analytical tools, computational workflows, and methodological innovations.
Collaborate with NCEMS Working Groups where their expertise can help advance shared research goals, strengthen proteomics-based discovery, and produce high-impact scientific outputs.