Grade 15 half-time; not specified; not specified p...
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Develop reproducible computational pipelines
Process and analyze molecular datasets
Integrate multi-omics datasets
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The Bordenstein Lab at Penn State University is seeking motivated graduate students for the NSF-funded National Synthesis Center for Emergence in the Molecular and Cellular Sciences (NCEMS) Graduate Research Assistantship. Ideal candidates will possess skills in computational biology and data analysis, specifically with molecular datasets, and will work on community-scale synthesis research.
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Job Summary
Graduate Research Assistants will support community-scale synthesis research by contributing to one or more NCEMS Working Groups.
Primary responsibilities include processing and analyzing molecular and cellular datasets, developing reproducible computational pipelines, and integrating multi-omics datasets.
Selected candidates will work under the supervision and mentorship of a designated NCEMS Staff member for 20 hours per week in person.
Matching Summary
Match Score: 75
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The Bordenstein Lab at Penn State University is seeking motivated graduate students for the NSF-funded National Synthesis Center for Emergence in the Molecular and Cellular Sciences (NCEMS) Graduate Research Assistantship. Ideal candidates will possess skills in computational biology and data analysis, specifically with molecular datasets, and will work on community-scale synthesis research.
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Salary
Grade 15 half-time; Not specified; Not specified
Skills & Requirements
Must-have
Develop reproducible computational pipelines
Process and analyze molecular datasets
Integrate multi-omics datasets
Well-documented code and workflows
Proficiency in Python or R
Familiarity with Linux
Nice-to-have
Experience with machine learning applications
Experience with workflow languages
Knowledge of basic applied statistics
Key Requirements
Full-time doctoral students at Penn State University Park
Good academic and conduct standing
Strong interest in computational and data-driven molecular or cellular science research