Bioformulation Digital Twin Scientist

Johns Hopkins University; Gaithersburg (MD); On-site; USD 85,000 - 100,000; Full time

Job summary

The Chronicle Of Higher Education, Inc. is hiring a Bioformulation Digital Twin Developer to support the NIST FRAME program at Johns Hopkins University. The role involves developing generative models for soft matter systems and requires a Ph.D. in a relevant field. Strong programming skills and experience in generative modeling are essential for this position.

This position offers a salary between $85,000 and $100,000 and is part of a commitment to equal opportunity in employment.

Qualifications

• Ph.D. must be completed by the start date.
• Strong experience with a modern machine learning stack is required.
• Ability to publish in peer-reviewed venues is necessary.

Responsibilities

• Develop and validate generative models for soft matter systems.
• Design model architectures and training pipelines.
• Collaborate with experimentalists on research outputs.

Skills

Strong Python programming skills

Machine learning experience (PyTorch, GPU)

Independent research execution

Generative modeling for scientific data

Communication skills

Education

Ph.D. in machine learning, computer science, physics, chemistry, materials science, or related field

Job description

The Chronicle Of Higher Education, Inc. is hiring a Bioformulation Digital Twin Developer to support the NIST FRAME program at Johns Hopkins University. The role involves developing generative models for soft matter systems and requires a Ph.D. in a relevant field. Strong programming skills and experience in generative modeling are essential for this position.

This position offers a salary between $85,000 and $100,000 and is part of a commitment to equal opportunity in employment.