Research Scientist, Molecular Dynamics
- Lead the development and implementation of advanced computational physics methods into efficient and scalable workflows, to address challenging drug discovery problems and drive project success
- Collaborate with software engineers and drug designers in multidisciplinary teams to deliver scientific solutions to complex technical problems
- Keep up with the latest scientific developments, assess new technologies for their use in internal workflows, and devise plans for their implementation
- Communicate your work to both internal and external audiences to guide decisions and contribute to the scientific community
- PhD in Chemistry, Physics, Computational Chemistry, Computational Physics, or a related subject area
- Excellent programming skills in Python for tool development
- Proven track record in the development of molecular simulation or computational chemistry tools
- Basic knowledge of drug discovery processes and the application of molecular simulations in this field
- Experience in deploying and orchestrating large-scale jobs using compute clusters or cloud-based infrastructures
- We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust.
- We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action.
- We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection.
- We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day.
- We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together.
- We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities.
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