Computational Soft Matter Modeler

Job overview

The Computational Soft Matter Modeler is an onsite role based in Laurel, MD. Compensation is not specified, and the role supports the Johns Hopkins Applied Physics Laboratory (APL) in computational research. This role exists to model physical processes in soft materials like polymers and biopolymers. The modeler will contribute to projects supporting the Department of Defense and other government agencies.

What you'll do

• Develop models of macromolecules
• perform analyses of structural and thermodynamic phenomena
• leverage modeling methods like molecular dynamics and machine learning
• collaborate with scientists
• propose future projects
• communicate results.

What we're looking for

Skills & competencies

computational modeler

soft matter

laurel md

contract

day shift

full-time

security clearance

molecular dynamics

machine learning

apl

Work arrangement

• Weekend coverage required

Benefits & perks

• Robust education assistance, unparalleled retirement contributions, medical, dental, vision, life insurance, short-term/long-term disability, flexible spending accounts.

Why this role

Requires ability to obtain Secret clearance; Ph.D. in relevant field; experience with molecular dynamics.

About the employer

Johns Hopkins Applied Physics Laboratory (APL) is hiring for this role. Industry: Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology). Sector: 54.