Huck Institutes of the Life Sciences NSF NCEMS Postdoctoral Scholar

Penn State University•University Park, IL

2d•Hybrid

About The Position

The Huck Institutes of The Life Sciences (The Huck) and the U.S. National Science Foundation National Synthesis Center for Emergence in the Molecular and Cellular Sciences (NCEMS) seeks an outstanding scientist to fill a Postdoctoral Scholar position dedicated to advancing the collaborative research of the Center’s Working Groups. NCEMS is an interdisciplinary research center positioned at the interface of data science and molecular and cellular biology. The Center provides leadership in the integration of diverse, publicly available datasets, enabling cross-disciplinary teams of scientists to synthesize knowledge and pursue fundamental questions at the forefront of the life sciences. This position has the potential to be a hybrid of remote and on-site work, with a minimum requirement of 3 days per week on-site. This position is not supportive of fully remote work. 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.

Requirements

PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related field.
Solid foundation and expertise in Python and/or R for data analysis, scripting, and statistical modeling.
Mastery using bioinformatics or computational biology software (e.g. BLAST, GATK, Bioconductor).
Expertise in data wrangling, harmonization, big data analytics, ETL processes, and extracting meaningful insights from complex datasets.
Experience working with large-scale molecular and cellular datasets/databases (next-generation sequencing) —including genomic, transcriptomic, proteomic, metabolomic and lipidomic, epigenomic, interactomic and structural, glycomic, and single-cell multi-omics data.
Hands-on experience with the Git version control systems and Data Version Control (DVC).
Understanding of genetic principles, molecular biology techniques, and genomic databases.
Experience developing new bioinformatics tools as dictated by research needs.
Publications in peer-reviewed journals demonstrating contributions to the field.
Impeccable ethics and integrity with a strong work ethic.
Strong interpersonal and written skills.
Ability to work well in a team environment.

Responsibilities

Collaborate with center working groups to develop and implement computational methods for integrating, analyzing, and visualizing complex molecular and cellular biology data in support of their research goals.
Provide technical experience in the wrangling, harmonizing, and standardizing of existing biological datasets, including advanced experience with next-generation sequencing data.
Implement comprehensive quality control measures to ensure data accuracy and consistency.
Provide expert advice to working groups and associated analysis in the area of evolutionary biology, including e.g. construction of phylogenetic trees and population genetics analyses.
Offer support and guidance on the selection and application of bioinformatics and computational biology tools and pipelines, especially those related to sequence alignment, gene expression analysis, and variant calling, following open and reproducible science best practices.
Develop and maintain quality assurance protocols for workflows to guarantee the reliability and reproducibility of results.
Have hands-on experience in data processing starting from raw data for multiple modern techniques including examples from the list: RNA-Seq, single-cell RNA-Seq (scRNA-Seq), ChIP-Seq, DNA-Seq, ATAC-Seq, and Hi-C.
Support the publication of intermediate data products, code, and documentation.
Stay up-to-date with the latest advancements in bioinformatics, computational biology, and available biological datasets.