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Benefits offered by this job
Significant equity
High-impact science
Collaborative and challenging environment
Job summary
MixMode is seeking a highly skilled molecular dynamics expert to lead and contribute to projects involving enhanced sampling and free energy calculations. The ideal candidate holds a PhD in a relevant field and has strong experience with force-field/neural network potential development, deep learning, and scientific programming. The position offers significant equity as an early technical leader in a high-expectation environment, making a tangible impact in the field.
Qualifications
PhD in chemical physics, chemistry, physics, materials science, or related field.
Strong background in MD, enhanced sampling, free energy methods, and deep learning.
Experience with electronic structure methods (DFT) or statistical mechanics.
Proficient in scientific programming; parallel tools a plus.
Responsibilities
Lead or contribute to MD, enhanced sampling, and free energy projects.
Develop and deploy high-accuracy force fields and neural network potentials.
Build deep learning models for molecular and materials prediction.
Write efficient scientific software in Python and/or C++.
Take ideas from theory to scalable implementation.
Skills
Molecular dynamics
Enhanced sampling methods
Free energy calculations
Deep learning
Force-field/neural network potential development
Scientific programming
Education
PhD in chemical physics, chemistry, physics, or materials science
Tools
Python
C++
OpenMM
OpenFE
Job description
MixMode is seeking a highly skilled molecular dynamics expert to lead and contribute to projects involving enhanced sampling and free energy calculations. The ideal candidate holds a PhD in a relevant field and has strong experience with force-field/neural network potential development, deep learning, and scientific programming. The position offers significant equity as an early technical leader in a high-expectation environment, making a tangible impact in the field.