Research Scientist, Enzyme Simulation

Job title:

Research Scientist, Enzyme Simulation

Company

Xyme

Job description

Our mission at Xyme is to solve important societal problems by revolutionising the practice of synthetic chemistry through what we call xymes – AI-generated enzymes that can catalyse any reaction. As an innovative startup based in Oxford and Manchester, UK, we bring together interdisciplinary teams of scientists, engineers, and data specialists to push the boundaries of enzyme design. Our dynamic and collaborative work environment is fuelled by a passion for innovation. We cultivate a culture of continuous learning and improvement, where every team member can make a lasting impact on our groundbreaking research and real-world applications.Are you ready to be at the forefront of revolutionary enzyme design? Bring your expertise in Enzyme Simulation to Xyme and become part of an exceptional interdisciplinary team that’s reshaping the future of biotechnology. In this role, you’ll drive the creation of cutting-edge in silico tools, leveraging your expertise in quantum-chemical techniques and high-performance computing to digitally assess novel enzyme complexes. Your work will not only push the boundaries of scientific knowledge but also have a tangible impact on real-world applications. If you’re a self-starter with a passion for innovation and the skills to turn complex simulations into actionable insights, this could be your opportunity to make a lasting mark in the field of computational biology. Join us and be part of the enzyme revolution!What you will do

  • Drive the creation of an in silico toolkit for digitally assessing potential enzyme complexes
  • Design and implement state-of-the-art simulation-based protocols for enzyme modelling
  • Utilise quantum-chemical techniques to model enzyme complexes and their interactions
  • Leverage high-performance computing resources to perform large-scale simulations
  • Analyse and interpret complex simulation data to guide enzyme design decisions
  • Collaborate with interdisciplinary teams to integrate simulation results into the broader enzyme design process

What you will bring

  • A PhD in quantum chemistry, biochemistry, computational biology, or a closely related field
  • Extensive experience with state-of-the-art simulation-based protocols for enzyme modelling including large scale techniques such as molecular dynamics
  • Strong knowledge of quantum-chemical techniques as applied to modelling enzyme complexes
  • Proficiency in using high-performance computing environments to perform simulations at scale
  • Experience in critical analysis of simulation protocols and their outputs
  • Ability to orchestrate simulation campaigns to execute at high throughput
  • Excellent programming skills, particularly in Python and HPC simulation codes
  • Strong communication skills and ability to collaborate effectively in an interdisciplinary team

Nice to have

  • Experience in interfacing multiple simulation codes together using workflows
  • Understanding of how machine learning techniques could enhance enzyme simulation work
  • Familiarity with version control systems (e.g., Git) and best practices for scientific software development
  • Track record of publications in peer-reviewed journals related to computational enzyme design or similar fields

What you will get from us

  • The opportunity to work on groundbreaking technology with real-world impact, making significant contributions to synthetic chemistry and enzyme design
  • A supportive and collaborative work environment that nurtures creativity and innovation, providing genuine ownership and autonomy
  • Continuous learning and development opportunities, including the chance to attend and present at relevant conferences and industry events
  • The excitement of being part of a fast-growing startup at the forefront of AI-driven enzyme design
  • Opportunities to publish your work in high-impact scientific journals
  • Competitive compensation and benefits package commensurate with your skills and experience.

Expected salary

Location

Manchester

Job date

Thu, 19 Dec 2024 23:16:04 GMT

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