Huck Institutes Life Sciences NSF NCEMS Postdoctoral Scholar

Huck Institutes of the Life Sciences NSF NCEMS Postdoctoral Scholar page is loaded## Huck Institutes of the Life Sciences NSF NCEMS Postdoctoral Scholarremote type:
Hybrid locations:
Penn State University Parktime type:
Full time posted on:
Posted Todayjob requisition :
REQ #
** APPLICATION INSTRUCTIONS:*** ## CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please to complete the. Please do not apply here, apply internally through Workday.* ## CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please to complete the Please do not apply here, apply internally through Workday.* ## If you are NOT a current employee or student, please click “Apply” and complete .

** Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see .
** 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.
** POSITION SPECIFICS
** Penn State is a world-class national research university home to numerous National Academy of Science members, one of the top 30 national research universities with over $1.3 billion in research expenditures, and one of three institutions in the nation accorded Land Grant, Sea Grant, Sun Grant, and Space Grant status.and the  seeks an outstanding scientist to fill a
** Postdoctoral Scholar
** position dedicated to advancing the collaborative research of the Center’s . 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.
** Duties and 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.
*
* Education and Experience:

*** 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.

Candidates must also have impeccable ethics and integrity with a strong work ethic, strong interpersonal and written skills, and the ability to work well in a team environment.
** Candidates are required to provide the following:
*** A current…