Jobs · Analyst · Pennsylvania

Bioinformatics Staff Scientist at NSF-NCEMS

Penn State University · University Park, PA · 2 mo ago
Analyst$66k–$122k/yrFull-time

About the role

The U.S. National Science Foundation National Synthesis Center for Emergence in the Molecular and Cellular Sciences (NCEMS) and the Institute for Computational and Data Sciences (ICDS) at Penn State seeks an outstanding scientist to fill a Bioinformatics Staff Scientist (Research Data Scientist - Intermediate Professional or Advanced Professional level) position.

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.

Requirements

  • 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.
  • 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.

Qualifications

  • If filled as Research Data Scientist - Intermediate Professional, this position requires: Bachelor's Degree 1+ years of relevant experience; or an equivalent combination of education and experience accepted.
  • If filled as Research Data Scientist - Advanced Professional, this position requires: Bachelor's Degree 3+ years of relevant experience; or an equivalent combination of education and experience accepted.

Skills

  • Strong proficiency in Python and/or R for data analysis, scripting, and statistical modeling.
  • 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.

Benefits

Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being. For more detailed information, please visit our Benefits Page.

Pay

The salary range for this position, including all possible grades, is $65,508.00 - $122,016.00.

Schedule

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 at the Penn State University Park campus. This position does not permit fully remote work.

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