Machine Learning Staff Scientist At Nsf-ncems

Penn State

State College, Pennsylvania, United States
Base: $61,800.00 - $89,600.00; bonus/equity: not s...
Hybrid (minimum 3 days on-site)
Python scientific computing and ml libraries
Deep learning architectures like cnns and transformers
Multi-omics and high-dimensional biological datasets
The job posting is for a Machine Learning Staff Scientist at Penn State, specifically within the National Synthesis Center for Emergence in the Molecular and Cellular Sciences (NCEMS). The role involves collaborating on interdisciplinary research projects that integrate machine learning with molecular and cellular biology data, with a hybrid work arrangement requiring a minimum of three days on-site

Job Summary

  • This position supports the U.S. National Science Foundation National Synthesis Center for Emergence in the Molecular and Cellular Sciences by advancing collaborative research through machine learning.
  • The role requires developing end-to-end ML workflows including feature learning, training, validation, and uncertainty quantification for multi-omics data types.
  • Candidates will benefit from a competitive benefits package including comprehensive medical coverage, robust retirement plans, and a generous 75% tuition discount.

Matching Summary

Match Score: 85

The job posting is for a Machine Learning Staff Scientist at Penn State, specifically within the National Synthesis Center for Emergence in the Molecular and Cellular Sciences (NCEMS). The role involves collaborating on interdisciplinary research projects that integrate machine learning with molecular and cellular biology data, with a hybrid work arrangement requiring a minimum of three days on-site.

Salary

Base: $61,800.00 - $89,600.00; 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 like CNNs and Transformers
  • Multi-omics and high-dimensional biological datasets
  • HPC/GPU computing and containerization
  • Collaboration with multidisciplinary scientific teams

Nice-to-have

  • Experience with generative modeling approaches
  • Strong publication record in peer-reviewed journals
  • Commitment to ethical conduct and research integrity
  • Familiarity with foundation-model adaptation techniques

Key Requirements

  • M.S. or PhD in Machine Learning, Computational Biology, or related field
  • Demonstrated experience with Python, PyTorch, TensorFlow, or JAX
  • Authorization to work in the U.S. without visa sponsorship
  • Solid understanding of molecular and cellular biology concepts

Work Rights

Must be authorized to work in the U.S.

Tailored Resume

Cover Letter