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

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 seeks an outstanding scientist to fill a Postdoctoral Scholar position in Bioinformatics. 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 will conduct original bioinformatics research involving large-scale public datasets involving genomic, transcriptomic, proteomic, metabolomic, interactomic, structural, or single-cell multi-omics data.

Requirements

PhD in Bioinformatics, Computational Biology, Systems Biology, Genomics, Data Science, Molecular Biology, or a closely related field.
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.
Ability to conduct research and produce scholarly outputs as evidenced by a strong record of peer-reviewed publications.
Independent self-starters.
Strong work ethic.
Strong interpersonal and written communication skills.
Ability to work well in a collaborative team environment.

Nice To Haves

Experience with biological data processing pipelines.
Experience with workflow development.
Experience with reproducible research practices.
Experience with high-performance computing.
Experience with version control.
Experience with public data curation.
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.

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.