div class="flex max-w-full flex-col grow">Material Sciences - Graduates - AI Training - US.
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Cedar Grove, NJ8 days ago
li>Perform fresh and hardened property testing, including slump, air meter, unit weight and density, compressive and flexural strengths, setting time, resistivity, concrete durability tests, and other cementitious materials evaluations as required. The R&D Technician will be responsible for preparing and making mortar and concrete specimens, conducting ASTM-based testing, operating laboratory equipment, maintaining laboratory records, and supporting ongoing materials development efforts.
p>Required Skills: Biomedical Engineering, Biomedical Engineering, Combination Products, Component Development, Component Qualification, Cross-Functional Collaboration, Cultural Diversity, Design Controls, Design Failure Mode and Effect Analysis (DFMEA), Design Verification Testing, Diversity Awareness, Functional Leadership, Inspection Readiness, Interdisciplinary Collaboration, Materials Engineering, Materials Science, Mechanical Testing, Medical Device Quality Systems, Medical Devices, Medical Devices Engineering, Medical Device Technologies, Negotiation, Quality Management Systems (QMS), Self Motivation, Technical Leadership {+ 1 more}.
- The Associate Principal Scientist - Glass & Critical Components is a senior technical contributor and subject-matter specialist responsible for engineering, qualification, supplier technical oversight, and lifecycle support of glass primary containers (syringes, vials, cartridges) and other critical components used in pharmaceutical combination products and drug-delivery devices.
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- An ML force fields expert who has developed, validated, and applied ML force fields to simulate complex condensed-phase systems, such as solid-liquid interfaces, reactive events in the condensed phase, or solvated biomolecules.
p>This role supports current and upcoming remote consulting opportunities focused on chemistry-focused AI safety review, expert-level prompt evaluation, scientific response assessment, structured annotation, and high-quality project execution. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy.
This role provides technical leadership and expertise in materials formulation development while building and optimizing internal capabilities to deliver innovative, efficient medical device and combination product solutions, aligned with the company’s long-term technical vision and pipeline of customer-focused innovations. Additionally, they are responsible for leading the development of documentation required for regulatory submissions (e.g., 510(k), IDE, technical files), driving strategy for publications and grant applications, securing non-dilutive funding through grant opportunities, and supporting technology transfer into manufacturing environments.
li>Develop and integrate first-of-a-kind quantum algorithms into end-to-end workflows for real-world applications in materials science and combinatorial optimization, including, but not limited to, interfacing with leading commercial and scientific tools such as Synopsys QuantumATK, Quantum ESPRESSO, VASP (materials science and semiconductor applications), Synopsys LS-DYNA, HFSS, Fluent, Sentaurus, Gurobi, CPLEX, Pyomo (optimization applications); translate practical use cases into quantum-native formulations, connect classical simulation outputs to quantum models such as Fermi-Hubbard and Heisenberg Hamiltonians, and map quantum-computing results back into domain workflows for actionable use in production-relevant applications. Expertise in application of FTQC algorithms for solving complex combinatorial optimization problems across domains such as transportation, supply chain, logistics and related areas, with hands-on experience developing novel algorithms and software tools for optimization and operations research, supported by a strong track record of peer-reviewed publications and contributions to production-grade codebases.