Machine Learning Staff Scientist At Nsf-ncems

Penn State

State College, PA, US
Base: $61,800 - $89,600; bonus/equity: not specifi...
Hybrid (minimum of 3 days on-site)
Python scientific computing proficiency
Pytorch tensorflow jax framework experience
Multi-omics data preprocessing skills
The Machine Learning Staff Scientist position at Penn State's National Synthesis Center for Emergence in the Molecular and Cellular Sciences seeks a qualified candidate to support interdisciplinary research in molecular and cellular biology through advanced machine learning techniques. The role involves collaborating on multiple projects, developing ML workflows, and requires strong proficiency in Python and relevant ML libraries

Job Summary

  • The position supports multidisciplinary teams at the National Synthesis Center for Emergence in the Molecular and Cellular Sciences by designing machine learning solutions for biological data.
  • Candidates will lead end-to-end workflows including data wrangling, model training, and uncertainty quantification for genomic and proteomic datasets.
  • Penn State offers a competitive benefits package including medical coverage, retirement plans, and a generous 75% tuition discount for employees and families.

Matching Summary

Match Score: 85

The Machine Learning Staff Scientist position at Penn State's National Synthesis Center for Emergence in the Molecular and Cellular Sciences seeks a qualified candidate to support interdisciplinary research in molecular and cellular biology through advanced machine learning techniques. The role involves collaborating on multiple projects, developing ML workflows, and requires strong proficiency in Python and relevant ML libraries.

Salary

Base: $61,800 - $89,600; Bonus/Equity: Not specified; Benefits: Comprehensive medical, dental, vision, retirement, 75% tuition discount

Skills & Requirements

Must-have

  • Python scientific computing proficiency
  • PyTorch TensorFlow JAX framework experience
  • Multi-omics data preprocessing skills
  • Deep learning architecture implementation
  • HPC GPU resource management
  • Collaborative interdisciplinary research

Nice-to-have

  • Strong publication record in peer-reviewed journals
  • Experience with generative modeling approaches
  • Commitment to ethical research conduct
  • Background in causal inference methods
  • Ability to work in hybrid team environment

Key Requirements

  • M.S. or PhD in Machine Learning or related field
  • Demonstrated experience with high-dimensional biological datasets
  • Authorized to work in the U.S. without sponsorship

Work Rights

Must be authorized to work in the U.S.

Tailored Resume

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