Full-Time

Bioinformatics Staff Scientist

Updated on 7/12/2026

Pennsylvania State University

Pennsylvania State University

Compensation Overview

$65.5k - $122k/yr

No H1B Sponsorship

State College, PA, USA

Hybrid

Three days on-site per week required at the University Park campus.

Category
Biology & Biotech (1)
Required Skills
Python
R
Data Analysis

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Requirements
  • Bachelor's Degree
  • 1+ years of relevant experience for the intermediate professional track, or 3+ years for the advanced professional track, or an equivalent combination of education and experience accepted
  • Candidates must be authorized to work in the United States; Penn State does not sponsor or take over sponsorship of a staff employment visa
  • Strong proficiency in Python and/or R for data analysis, scripting, and statistical modeling
  • Demonstrated experience processing raw next-generation sequencing data and developing end-to-end, reproducible analysis workflows
  • Experience working with complex molecular and cellular datasets, such as genomic, transcriptomic, epigenomic, proteomic, metabolomic/lipidomic, and single-cell or multi-omics data
  • Solid 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
  • Experience supporting/contributing to multi-PI projects
  • Commitment to ethical conduct and research integrity, strong work ethic, strong interpersonal and written communication skills, and the ability to work well in a team environment
Responsibilities
  • Collaborate with NCEMS Working Groups to design and implement computational methods for integrating, analyzing, and visualizing complex molecular and cellular biology data
  • Lead data wrangling, harmonization, standardization, and quality control of existing biological datasets, with emphasis on next-generation sequencing data
  • Develop and apply end-to-end data processing workflows from raw data across modern experimental modalities (including, for example, RNA-seq, scRNA-seq, ChIP-seq, DNA-seq, ATAC-seq, and Hi-C)
  • Advise on the selection, development, and application of bioinformatics tools and pipelines (e.g., alignment, expression analysis, variant calling) using open and reproducible science best practices
  • 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
Desired Qualifications
  • M.S. or PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, Data Science, or a related field is preferred
  • Strong proficiency in Python and/or R for data analysis, scripting, and statistical modeling
  • Demonstrated experience processing raw next-generation sequencing data and developing end-to-end, reproducible analysis workflows
  • Experience working with complex molecular and cellular datasets, such as genomic, transcriptomic, epigenomic, proteomic, metabolomic/lipidomic, and single-cell or multi-omics data
  • Publications in peer-reviewed journals demonstrating contributions to the field
  • Experience supporting/contributing to multi-PI projects
  • Commitment to ethical conduct and research integrity, strong work ethic, strong interpersonal and written communication skills, and the ability to work well in a team environment
Pennsylvania State University

Pennsylvania State University

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