Full-Time

Huck Institutes of the Life Sciences NSF NCEMS Postdoctoral Scholar

Posted on 2/21/2026

Pennsylvania State University

Pennsylvania State University

No salary listed

Company Does Not Provide H1B Sponsorship

State College, PA, USA

Hybrid

Minimum 3 days per week on-site required.

Category
Biology & Biotech (3)
, ,
Required Skills
Python
R
Git
ETL
Data Analysis
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, 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.
  • A current Curriculum Vitae (CV) or Resume.
  • A cover letter detailing the candidate’s interest in the role.
  • Background checks: Employment with the University will require successful completion of background check(s) in accordance with University policies.
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 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.
Pennsylvania State University

Pennsylvania State University

View

Company Size

N/A

Company Stage

N/A

Total Funding

N/A

Headquarters

N/A

Founded

N/A

INACTIVE