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Postdoctoral Researcher – Machine Learning for Protein Design and Engineering

💼 Graduate Job


🤑 $73.2K - $120.8K

AI generated summary

  • You must be a recent PhD graduate with research experience in machine learning, bioinformatics, troubleshooting skills, and a strong publication record. Experience in enzyme engineering, molecular dynamics, and programming is preferred.
  • You will co-design protein engineering efforts, use deep learning for predictive modeling, analyze biochemical data, collaborate with a multidisciplinary team, communicate results effectively, and author publications.

Graduate Job

Research & Development, DataGolden


  • The Renewable Resources and Enabling Sciences Center is a talented team of scientists and technicians working in biological, chemical, and catalytic research approaches to renewable energy and materials for a circular economy. The center has strong thrusts in polymer design and upcycling, separations, synthetic biology and bioconversion, analytical sciences, computational modeling, and lignocellulosic chemistry and catalysis.
  • A postdoctoral researcher role is available in NREL’s Renewable Resources and Enabling Sciences Center. The successful candidate will develop machine learning and deep learning tools that are able to identify and design process-advantaged enzymes for the deconstruction of polymer waste, conversion of C1 substrates, biosensor design, and use in metabolic pathways. This work will be done in close collaboration with a large, multi-disciplinary, multi-institutional team.


  • Must be a recent PhD graduate within the last three years.* Must meet educational requirements prior to employment start date.
  • Additional Required Qualifications:
  • Research experience in machine learning, deep learning, and bioinformatics
  • Troubleshooting skills, problem-solving skills, and attention to detail
  • Ability to deliver high-quality results within aggressive timelines
  • A strong publication history in the peer-reviewed scientific literature
  • Preferred Qualifications:
  • Experience developing approaches to select for and engineer thermo-tolerant enzymes​
  • Relevant experience with molecular dynamics simulations
  • Demonstrated experience in Python and/or other relevant programming languages, especially applied to the development of high-throughput computational workflows

Education requirements


Area of Responsibilities

Research & Development


  • co-design the planning and execution of protein selection, design, and engineering efforts with other researchers
  • use state-of-the-art deep learning methods to develop predictive models with applications in enzyme selection, engineering, and design
  • use machine learning techniques to analyze biochemical data to make engineering recommendations for improving desired enzyme properties
  • work with small experimental datasets, using techniques such as semi-supervised learning, transfer learning, etc.
  • use structural information, bioinformatics, molecular modeling, and / or machine learning techniques to develop protein sequence/structure/function relationships and make engineering recommendations for improving desired enzyme properties
  • work effectively both independently and in a large, multidisciplinary, multi-institutional team of biologists, chemists, and engineers.
  • collaborate with modeling and experimental collaborators to plan, execute, discuss, and analyze project results and propose new directions.
  • communicate scientific results effectively, both in written and oral formats
  • author peer-reviewed publications
  • maintain professionalism and an environment of mutual respect in all communication and interactions with fellow staff and collaborators


Work type

Full time

Work mode





73200 - 120800 USD