Data Science Entry Level Remote Jobs in Pennsylvania

APPLICATION INSTRUCTIONS:

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• CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
• If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional information on remote work at Penn State, seeNotice to Out of State Applicants.

This is a term position; length of the term will be discussed during the interview process. Continuation past the termlengthdiscussed willbebasedonuniversityneed,performance,and/oravailabilityoffunding.

POSITION SPECIFICS

Postdoctoral Scholar (Bioinformatics)

The National Synthesis Center for Emergence in the Molecular and Cellular Sciences (NCEMS) at The Pennsylvania State University (ncems.psu.edu) seeks an outstanding scientist to fill a Postdoctoral Scholar position in Bioinformatics housed within the Huck Institutes of Life Sciences at Penn State University.

NCEMS is an NSF-funded interdisciplinary research center positioned at the interface of data science, molecular and cellular biology, and quantitative physical sciences. The Center provides leadership in the integration of diverse, publicly available datasets to gain insights into emergent phenomena in molecular and cellular biology.

About the Position

The successful candidate, in collaboration with faculty and research staff at NCEMS, will conduct original bioinformatics research involving large-scale public datasets involving genomic, transcriptomic, proteomic, metabolomic, interactomic, structural, or single-cell multi-omics data.

This position is full time, on-site at the Penn State University Park campus. This position does not permit remote work. This is a term appointment funded for one year from the date of hire with an excellent chance for multiple years of renewal based upon mutual agreement.

Requirements

A PhD in Bioinformatics, Computational Biology, Systems Biology, Genomics, Data Science, Molecular Biology, or a closely related field is required. The successful candidate will have a strong foundation in bioinformatics, biological data analysis, data integration, or systems-level analysis of molecular and cellular biology data. Candidates should have experience developing, implementing, or applying computational methods to large-scale biological datasets. Expertise in Python and/or R is expected. Experience with biological data processing pipelines, workflow development, reproducible research practices, high-performance computing, version control, or public data curation is highly desirable. The successful candidate should demonstrate the ability to conduct research and produce scholarly outputs as evidenced by a strong record of peer-reviewed publications. Experience working with large-scale biological datasets is highly desirable, including genomic, transcriptomic, proteomic, metabolomic, interactomic, structural, or single-cell multi-omics data. Familiarity with biological databases and public data repositories, such as NCBI, GEO, SRA, ENA, UniProt, PDB, AlphaFold DB, or related resources, is also desirable. Candidates must be independent self-starters, have a strong work ethic, strong interpersonal and written communication skills, and the ability to work well in a collaborative team environment.

Application Process

Applications must be submitted electronically in a single PDF and should include:

• A cover letter

• Curriculum vitae (CV)

BACKGROUND CHECKS/CLEARANCES

Employment with the University will require successful completion of background check(s) in accordance with University policies.

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 ourBenefits Page. (Note: For Postdoctoral benefits, please see our Postdoctoral Benefits page.)

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