Machine Learning Staff Scientist At Nsf-ncems

Penn State

University Park, Pennsylvania, USA
Base: $61,800.00 - $89,600.00; bonus/equity: not s...
Hybrid (minimum 3 days on-site at university park campus)
Python for scientific computing
Ml libraries/frameworks (pytorch, tensorflow, jax)
Molecular and cellular biology data analysis
Penn State is seeking a Machine Learning Staff Scientist to support interdisciplinary research at the National Synthesis Center for Emergence in the Molecular and Cellular Sciences (NCEMS). The role involves developing machine learning approaches for analyzing biological data, requiring a strong background in computational biology and machine learning

Job Summary

  • The position supports the U.S. National Science Foundation National Synthesis Center for Emergence in the Molecular and Cellular Sciences (NCEMS) and the Institute for Computational and Data Sciences (ICDS) at Penn State.
  • Responsibilities include collaborating with Working Groups to design, develop, and evaluate machine learning approaches for biological data integration and analysis, preparing ML-ready datasets, and building predictive and generative models.
  • Penn State provides a competitive benefits package including medical, dental, vision, retirement plans, paid time off, and a 75% tuition discount for employees and eligible family members.

Matching Summary

Match Score: 85

Penn State is seeking a Machine Learning Staff Scientist to support interdisciplinary research at the National Synthesis Center for Emergence in the Molecular and Cellular Sciences (NCEMS). The role involves developing machine learning approaches for analyzing biological data, requiring a strong background in computational biology and machine learning.

Salary

Base: $61,800.00 - $89,600.00; Bonus/Equity: Not specified; Benefits: Competitive benefits package including medical, dental, vision, retirement, PTO, tuition discount

Skills & Requirements

Must-have

  • Python for scientific computing
  • ML libraries/frameworks (PyTorch, TensorFlow, JAX)
  • Molecular and cellular biology data analysis
  • End-to-end ML workflows
  • Scalable training and inference pipelines
  • Software engineering practices for research

Nice-to-have

  • Interdisciplinary research collaboration
  • Advancing synthesis research questions
  • Ethical conduct and research integrity
  • Strong interpersonal and communication skills

Key Requirements

  • M.S. or PhD preferred
  • 1+ years of relevant experience
  • Authorized to work in the U.S.

Work Rights

Authorized to work in the U.S.

Tailored Resume

Cover Letter