Machine Learning Staff Scientist At Nsf-ncems

Penn State University

University Park, Pennsylvania, USA
Base: $61,800.00 - $89,600.00; bonus/equity: not s...
Hybrid (minimum 3 days per week on-site)
Machine learning approaches
Integrate molecular and cellular biology data
Develop end-to-end ml workflows
Penn State University is seeking a Machine Learning Staff Scientist for the National Science Foundation's National Synthesis Center for Emergence in the Molecular and Cellular Sciences. This position involves collaborating on interdisciplinary research projects, developing machine learning workflows for biological datasets, and requires a strong background in machine learning and computational biology

Job Summary

  • Collaborate with NCEMS Working Groups to design, develop, and evaluate machine learning approaches for integrating, analyzing, and visualizing molecular and cellular biology data across the central dogma and regulatory processes.
  • Prepare ML-ready datasets by leading data wrangling, harmonization, standardization, quality control, and documentation to support robust training and reuse across biological modalities.
  • Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being.

Matching Summary

Match Score: 85

Penn State University is seeking a Machine Learning Staff Scientist for the National Science Foundation's National Synthesis Center for Emergence in the Molecular and Cellular Sciences. This position involves collaborating on interdisciplinary research projects, developing machine learning workflows for biological datasets, and requires a strong background in machine learning and computational biology.

Salary

Base: $61,800.00 - $89,600.00; Bonus/Equity: Not specified; Benefits: Comprehensive medical, dental, and vision coverage, robust retirement plans, substantial paid time off, 75% tuition discount

Skills & Requirements

Must-have

  • Machine learning approaches
  • Integrate molecular and cellular biology data
  • Develop end-to-end ML workflows
  • Build and optimize predictive models
  • Implement scalable training pipelines
  • Python for scientific computing
  • PyTorch, TensorFlow, JAX

Nice-to-have

  • Collaborate with multidisciplinary teams
  • Ethical conduct and research integrity
  • Work well in a team environment

Key Requirements

  • M.S. or PhD preferred
  • 1+ years of relevant experience
  • Python ML libraries
  • Core ML and deep learning methods
  • High-dimensional molecular and cellular datasets
  • Molecular and cellular biology concepts
  • Software engineering practices
  • Git, containers, HPC/GPU
  • Publications in peer-reviewed journals
  • Experience supporting multi-PI projects

Work Rights

Authorized to work in the U.S.

Tailored Resume

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