Postdoc: Data-Driven Biomolecular Modeling

Colorado School of Mines; Colorado; On-site; USD 53,000 - 72,000; Full time

Benefits offered by this job

Health & dental benefits

Paid time off (Holidays)

Retirement plan

Tuition benefits

RTD Ecopass

Employee discounts

Recreation center access

On‑campus daycare

Job summary

Colorado School of Mines seeks a postdoctoral fellow in Chemical and Biological Engineering to advance data‑driven coarse‑graining methods for biomolecular systems and energy transduction processes. The role emphasizes independent computational research, collaboration, and dissemination of findings through publications and talks.

Ideal candidates have a PhD in a related field, strong programming skills, experience with molecular simulation, and a background in molecular dynamics or multiscale

Qualifications

• PhD in chemical engineering, chemistry, physics, materials science, biophysics, applied mathematics, computer science, or related field with demonstrated experience in molecular simulation or related computational methods and strong programming skills.
• Knowledge of molecular dynamics and coarse‑graining/multiscale modeling.
• Ability to develop, implement, and critically evaluate new computational methodologies.
• Strong programming, numerical analysis, and data analysis skills.
• Ability to independently formulate research questions, troubleshoot problems, and interpret results.
• Ability to work effectively in an interdisciplinary, collaborative team.
• Experience with coarse‑grained modeling, multiscale simulation, or development of molecular simulation methods.
• Knowledge of stochastic and nonequilibrium dynamics or nonequilibrium statistical mechanics.
• Ability to connect mathematical descriptions with physically interpretable models.
• Familiarity with machine learning or data‑driven modeling for molecular simulation or dynamical systems.
• Experience with molecular simulation software (GROMACS, LAMMPS, OpenMM) and ML frameworks (TensorFlow, PyTorch, JAX).
• Experience with high‑performance computing environments, GPU acceleration.
• Reproducible scientific software development with version control and documentation.
• Ability to mentor and support graduate and undergraduate researchers.

Responsibilities

• Develop computational methodologies to improve accuracy, transferability, and dynamical fidelity of coarse‑grained biomolecular models.
• Apply computational strategies to characterize biomolecular self‑organization during energy transduction.
• Develop, implement, and maintain open‑source code for coarse‑grained modeling and simulation.
• Prepare manuscripts for publication in peer‑reviewed journals.
• Present research findings at conferences and symposia.
• Contribute to technical reports and deliverables for funding agencies.
• Contribute to research proposals and further funding opportunities.
• Mentor graduate and undergraduate researchers and foster collaboration.

Skills

Molecular simulation

Statistical mechanics

Computational methods

Programming

Scientific computing

Data analysis

Independent research

Communication skills

Mentoring

Interdisciplinary collaboration

Education

PhD in Chemical Engineering / related field

Tools

GROMACS

LAMMPS

OpenMM

TensorFlow

PyTorch

JAX

Job description

Colorado School of Mines seeks a postdoctoral fellow in Chemical and Biological Engineering to advance data‑driven coarse‑graining methods for biomolecular systems and energy transduction processes. The role emphasizes independent computational research, collaboration, and dissemination of findings through publications and talks.

Ideal candidates have a PhD in a related field, strong programming skills, experience with molecular simulation, and a background in molecular dynamics or multiscale