Base: $61,800.00 - $115,100.00; bonus/equity: not ...
Hybrid
Python scientific computing and ml libraries
Deep learning architectures including cnns rnns gnns
Multi-omics data preprocessing and normalization
The position supports the U.S. National Science Foundation National Synthesis Center for Emergence in the Molecular and Cellular Sciences by advancing collaborative research across working groups
Job Summary
The position supports the U.S. National Science Foundation National Synthesis Center for Emergence in the Molecular and Cellular Sciences by advancing collaborative research across working groups.
Candidates will design and evaluate machine learning approaches to integrate diverse datasets from genomic, transcriptomic, and proteomic sources.
Penn State offers a competitive benefits package including comprehensive medical coverage, robust retirement plans, and a generous 75% tuition discount.
Matching Summary
The position supports the U.S. National Science Foundation National Synthesis Center for Emergence in the Molecular and Cellular Sciences by advancing collaborative research across working groups.
Salary
Base: $61,800.00 - $115,100.00; Bonus/Equity: Not specified; Benefits: Comprehensive medical dental vision retirement paid time off 75% tuition discount
Skills & Requirements
Must-have
Python scientific computing and ML libraries
Deep learning architectures including CNNs RNNs GNNs
Multi-omics data preprocessing and normalization
HPC GPU computing and containerization
Collaboration with multidisciplinary scientific teams
Nice-to-have
Experience with generative modeling approaches
Publications in peer-reviewed journals
Knowledge of causal inference methods
Strong written communication skills
Commitment to ethical research conduct
Key Requirements
M.S. or PhD in Machine Learning Computational Biology Bioinformatics or related field
3+ years relevant experience for Advanced Professional level
Authorization to work in the U.S. without visa sponsorship