Über diese Huck Institutes of the Life Sciences NSF NCEMS Postdoctoral Scholar-Computational Proteomics/Mass Spectrometry Stelle bei Penn State University
APPLICATION INSTRUCTIONS:
CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
If you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants.
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.
