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Penn State University · 4 months ago

Huck Institutes of the Life Sciences NSF NCEMS Postdoctoral Scholar

University Park, PA

Internship

Hybrid

Intern

Penn State University is a prestigious national research university seeking a Postdoctoral Scholar for the Huck Institutes of the Life Sciences and the NSF NCEMS. The role focuses on advancing collaborative research through the integration and analysis of complex molecular and cellular biology data, providing technical expertise and support to working groups.

Higher Education

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

Qualification

Computational BiologyBioinformaticsData AnalysisNext-Generation SequencingPythonRData WranglingGitBioinformatics SoftwareTeamworkInterpersonal SkillsWritten CommunicationWork Ethic

Required

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

A current Curriculum Vitae (CV) or Resume

A cover letter detailing the candidate's interest in the role