Senior Computational Soft Matter Researcher

Johns Hopkins Applied Physics Lab; Laurel (MD); On-site; USD 105,000 - 290,000; Full time

Job summary

Johns Hopkins University Applied Physics Laboratory seeks a Computational Soft Matter Researcher to develop macromolecule models linking structure to function across scales. You will perform analyses spanning structural, thermodynamic, chemical, and electromagnetic phenomena, using MD, computational chemistry, coarse-graining, and machine learning.

Collaboration with analysts, scientists, and engineers is essential.

Qualifications

• PhD in Biochemical, Chemical or Mechanical Engineering, Biology, Chemistry, Physics, Applied Mathematics, or equivalent with demonstrated application.
• 3+ years of physics-based simulations of macromolecules (e.g., quantum-chemistry, classical MD, coarse-grained models).
• Ability to work independently and also in multidisciplinary teams; strong communication with experimental colleagues.
• Willingness to travel occasionally to other government and contractor sites and obtain needed security clearances.

Responsibilities

• Develop and use models of macromolecules to relate structure and function across scales.
• Perform analyses of macromolecular characteristics including structural, thermodynamic, chemical, and EM phenomena.
• Leverage classical MD, computational chemistry, coarse-graining, enhanced sampling, statistics, and ML.
• Collaborate daily with analysts, scientists, and engineers; propose future projects.
• Craft reports and present results to team members and government partners.
• Contribute to team-based software development and documentation.

Skills

Independent work

Team collaboration

Communication skills

Problem solving

Travel willingness

Education

PhD in a relevant field

Tools

MATLAB

C/C++

Python

FORTRAN

MPI/OpenMP

Job description

Johns Hopkins University Applied Physics Laboratory seeks a Computational Soft Matter Researcher to develop macromolecule models linking structure to function across scales. You will perform analyses spanning structural, thermodynamic, chemical, and electromagnetic phenomena, using MD, computational chemistry, coarse-graining, and machine learning.

Collaboration with analysts, scientists, and engineers is essential.