Computational Soft Matter Modeler

Johns Hopkins Applied Physics Lab

Laurel (MD)

On-site

USD 105,000 - 290,000

Full time

4 days ago

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Job summary

Johns Hopkins Applied Physics Laboratory in Laurel, Maryland seeks a Computational Soft Matter Researcher to model key processes in complex soft-material systems such as polymers. You will contribute to projects supporting DoD and other government agencies, developing deep expertise in multiscale modeling across length and time scales.

You will work with analysts, scientists, and engineers using MD, computational chemistry, coarse graining, and ML techniques.

Qualifications

PhD in a quantitative field with demonstrated application to complex questions.
3+ years of physics-based macromolecule simulations.
Ability to work independently and in multidisciplinary teams.
Strong verbal and written communication skills.
Willingness to travel occasionally and obtain security clearance.

Responsibilities

Develop and apply models of macromolecules across length/time scales.
Analyze macromolecular characteristics including thermodynamic and electromagnetic phenomena.
Collaborate with analysts, scientists, and engineers daily.
Propose future projects and initiatives.
Prepare reports and present results to government partners.

Skills

Physics-based simulations

MD/PhD-level research

Communication skills

Travel willingness

GPU/parallel computing

Programming

Team collaboration

Education

Ph.D. in Biochemical, Chemical or Mechanical Engineering, Biology, Chemistry, Physics, Applied Mathematics, or equivalent

Tools

MATLAB

C/C++

Python

FORTRAN

MPI/OpenMP

GPU acceleration

Job description

Description

Are you a creative person driven to solve new problems?

Are you searching for impactful work in computational engineering and research that doesn’t confine you to working on the same thing year after year?

Does making meaningful contributions to projects using synthetic and bio-derived polymers to solve problems in human health, sensing, and biomanufacturing sound like a dream job?

If so, we’re looking for someone like you to join our team at APL.

We are seeking a Computational Soft Matter Modeler to help model key physical processes in complex systems involving soft materials, including polymers and biopolymers, to solve impactful challenges. As a member of our team, you will contribute to exciting projects supporting the US Department of Defense and other government agencies. Our team strives to develop, apply, and maintain deep expertise in multiscale modeling techniques that give insight across key length and time scales. You will work alongside analysts, laboratory scientists, and engineers who have a passion for applying our modeling results to physical systems that advance the state of the art and have real-world impact.

As a Computational Soft Matter Researcher, you will:

Develop and use models of macromolecules to determine relationships between structure and function across a variety of length and time scales, from enzymatic activity and chemical reactivity, to large-scale mechanical properties and flow.

Perform and develop analyses spanning a broad range of macromolecular characteristics including structural, thermodynamic, chemical, and electromagnetic phenomena.

Leverage modeling methods including classical molecular dynamics, computational chemistry, coarse graining, enhanced sampling, statistics, and machine learning.

Actively collaborate with analysts, scientists, and engineers on a day-to-day basis.

Propose future projects and initiatives.

Craft reports and give presentations to communicate results to team members and government partners.

We’re looking for talented and versatile computational researchers who are excited to expand their analytical toolbox. If you have experience in any of the methods or tools above, and are motivated to learn even more, we want to talk to you.

Qualifications

You meet our minimum qualifications for the job if you have:

A Ph.D. in Biochemical, Chemical or Mechanical Engineering, Biology, Chemistry, Physics, Applied Mathematics, or equivalent with demonstrated application of knowledge to answer complex questions.

3+ years of experience in performing physics-based simulations of macromolecules, such as quantum-chemistry calculations, classical molecular dynamics or coarse-grained molecular models.

Demonstrated ability to work both independently with minimal guidance, and collaboratively within a multidisciplinary team environment.

Demonstrated ability to communicate and collaborate with experimental colleagues.

Ability to manage and prioritize multiple projects.

Excellent verbal and written communication skills.

Willingness and ability to travel occasionally to attend meetings or tests at other government and contractor sites.

Ability to work in closed area facilities.

Are able to obtain a Secret level security clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You’ll go above and beyond our minimum requirements if you have:

Experience developing models of macromolecules that convey information across simulations at different length/time scales or physics.

Experience modeling macromolecules and their environmental interactions for specific applications in sensing, biomanufacturing, or medical countermeasures.

Expertise in developing and/or applying machine learning models for accelerated simulation, screening, or design of macromolecules.

Scientific/engineering programming experience, with the ability to work in multiple languages (MATLAB, C/C++, Python, FORTRAN, …) and algorithms commonly used in computational science and engineering.