Huck Institutes of the Life Sciences NSF NCEMS Postdoctoral Scholar - Bioinformatics

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 Bioinformatics housed within the Huck Institutes of Life Sciences at Penn State University.

Responsibilities

• Conduct original bioinformatics research involving large-scale public datasets involving genomic, transcriptomic, proteomic, metabolomic, interactomic, structural, or single-cell multi-omics data.
• Collaborate with faculty and research staff at NCEMS to develop, implement, or apply computational methods to large-scale biological datasets.
• Develop and maintain biological data processing pipelines and workflow development.
• Engage in reproducible research practices, high-performance computing, version control, and public data curation.
• Work with large-scale biological datasets, including genomic, transcriptomic, proteomic, metabolomic, interactomic, structural, or single-cell multi-omics data.
• Contribute to the integration of diverse, publicly available datasets to gain insights into emergent phenomena in molecular and cellular biology.

Requirements

• A PhD in Bioinformatics, Computational Biology, Systems Biology, Genomics, Data Science, Molecular Biology, or a closely related field is required.
• Strong foundation in bioinformatics, biological data analysis, data integration, or systems-level analysis of molecular and cellular biology data.
• Experience developing, implementing, or applying computational methods to large-scale biological datasets.
• Expertise in Python and/or R.
• Experience with biological data processing pipelines, workflow development, reproducible research practices, high-performance computing, version control, or public data curation.
• Independent self-starters, strong work ethic, strong interpersonal and written communication skills, and the ability to work well in a collaborative team environment.

Qualifications

• Strong record of peer-reviewed publications.
• Experience working with large-scale biological datasets, including genomic, transcriptomic, proteomic, metabolomic, interactomic, structural, or single-cell multi-omics data.
• Familiarity with biological databases and public data repositories, such as NCBI, GEO, SRA, ENA, UniProt, PDB, AlphaFold DB, or related resources.

Skills

• Python and/or R programming.
• Data integration and analysis.
• High-performance computing.
• Version control.
• Public data curation.

Benefits

• Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being.

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

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