Huck Institutes of the Life Sciences NSF NCEMS Postdoctoral Scholar

The Pennsylvania State University•University Park, FL

10d•Onsite

About The Position

The National Synthesis Center for Emergence in the Molecular and Cellular Sciences (NCEMS) at Penn State University seeks an outstanding scientist to fill a Postdoctoral Scholar position in Computational Biology housed within the Huck Institutes of Life Sciences at Penn 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 at NCEMS, will conduct original computational biology research involving large-scale public datasets, multi-omics integration, biological data harmonization, systems-level analysis, or related areas that synergize with the scientific goals, data products, and methodological innovations of NCEMS. This position is designed to support the scholar’s development as an independent researcher while embedding them in a highly collaborative synthesis science environment. 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

PhD in Computational Biology or Systems Biology.
Strong foundation in computational analysis of molecular and cellular biology data.
Expertise in Python and/or R.
Demonstrated ability to conduct independent research as demonstrated through a strong track-record of peer-reviewed publications.
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.

Nice To Haves

Experience working with large-scale biological datasets, including genomic, transcriptomic, proteomic, metabolomic, lipidomic, epigenomic, interactomic, structural, glycomic, or single-cell multi-omics data.
Familiarity with biological databases and public data repositories, such as NCBI, GEO, SRA, ENA, UniProt, etc.

Responsibilities

Conduct original computational biology research involving large-scale public datasets, multi-omics integration, biological data harmonization, systems-level analysis, or related areas that synergize with the scientific goals, data products, and methodological innovations of NCEMS.
Support the scholar’s development as an independent researcher.
Embed within a highly collaborative synthesis science environment.