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.
#J-18808-Ljbffr
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.
#J-18808-Ljbffr
