Materials Scientist – Semiconductors, Molecular Modeling

This is a fully remote position, open to applicants in New York.

📋 Description

• Create innovative research-level computational challenges in materials science.

• Develop tasks derived from published studies, public datasets, open-source projects, or custom scientific scenarios.

• Design semiconductor materials tasks that encompass structure-property relationships, material behavior, modeling assumptions, physical constraints, parameters, and simulation or experimental-style outputs.

• Construct molecular and atomistic modeling challenges involving simulation, structural analysis, quantitative interpretation, boundary conditions, numerical outputs, edge cases, and computational limitations.

• Author and validate scientific workflows using Python, R, or another pertinent programming language.

• Establish computational configurations, reference calculations, validation scripts, and reproducible workflows for automated assessment.

• Troubleshoot numerical, modeling, and implementation problems.

• Convert intricate research materials into clearly defined computational tasks with specified inputs, assumptions, constraints, and anticipated outputs.

• Generate authoritative reference solutions, supporting calculations, grading criteria, and reproducible evaluation logic.

• Evaluate tasks against advanced computational systems and investigate scientific, numerical, and reasoning failure modes.

• Enhance prompts, inputs, constraints, expected outputs, and difficulty while ensuring scientific integrity.

• Navigate Git/GitHub pull-request workflows.

• Execute and validate code within Docker-based environments.

• Address automated quality checks and reviewer feedback.

• Maintain organized, reproducible code and accompanying documentation.

• Collaborate within well-structured scientific software workflows.

⛳️ Requirements

• PhD required in Materials Science, Materials Engineering, Applied Physics, Chemistry, Chemical Engineering, or a closely related discipline.

• Proven expertise in both semiconductor materials and molecular modeling.

• Strong working proficiency in Python, R, or another scientific programming language.

• Practical experience utilizing scientific code for materials modeling, simulation, numerical analysis, or computational research.

• Comfortable using Git/GitHub.

• Experience executing code in Docker or other containerized environments.

• Solid understanding of reproducible scientific computing principles.

• Ability to translate advanced materials research into well-defined computational problems.

• Peer-reviewed publications are highly regarded.

• Prior experience in scientific software or research engineering is a plus.

• Excellent written communication skills and the ability to document scientific assumptions, methods, and solutions accurately.

• Must operate without utilizing confidential or proprietary information belonging to any employer, client, institution, or other third party.

• H1-B and STEM OPT support is not available for this position.

🏝️ Benefits

• Part-time independent contractor role.

• Fully remote opportunity.

• 20+ hours per week commitment.

• Initial duration of approximately 6 weeks.

• Immediate start available.

• Project duration may be extended, shortened, or concluded based on project requirements and performance.