R&D Science & Engineering

Medical Device Product Development — the design, development, verification/validation, risk management, and design transfer of novel medical devices and combination products under design controls (FDA 21 CFR 820, ISO 14971). Distinct from general mechanical or software engineering focuses in its regulated environment: every design decision is traced through the Design History File, validated against user needs, and transferred to manufacturing under documented design control. Covers CAD/FEA design, materials/biocompatibility, test method development, and regulatory strategy for active and passive devices.

Medical Device Product Development — the design, development, verification/validation, risk management, and design transfer of novel medical devices and combination products under design controls (FDA 21 CFR 820, ISO 14971). Distinct from general mechanical or software engineering focuses in its regulated environment: every design decision is traced through the Design History File, validated against user needs, and transferred to manufacturing under documented design control. Covers CAD/FEA design, materials/biocompatibility, test method development, and regulatory strategy for active and passive devices.

Applied Mathematics — develops and applies mathematical models, numerical algorithms, optimization, and statistical/computational methods (on HPC/GPU architectures) to solve scientific and mission-driven problems. Distinct from sibling Data Science/ML focuses (which center on data products and learned models) and from pure Computational/Statistics focuses: this focus is anchored in formulating real-world problems as mathematical models and designing/analyzing the numerical methods that solve them at scale.

Medical Device Product Development — the design, development, verification/validation, risk management, and design transfer of novel medical devices and combination products under design controls (FDA 21 CFR 820, ISO 14971). Distinct from general mechanical or software engineering focuses in its regulated environment: every design decision is traced through the Design History File, validated against user needs, and transferred to manufacturing under documented design control. Covers CAD/FEA design, materials/biocompatibility, test method development, and regulatory strategy for active and passive devices.

Applied Mathematics — develops and applies mathematical models, numerical algorithms, optimization, and statistical/computational methods (on HPC/GPU architectures) to solve scientific and mission-driven problems. Distinct from sibling Data Science/ML focuses (which center on data products and learned models) and from pure Computational/Statistics focuses: this focus is anchored in formulating real-world problems as mathematical models and designing/analyzing the numerical methods that solve them at scale.

Applied Mathematics — develops and applies mathematical models, numerical algorithms, optimization, and statistical/computational methods (on HPC/GPU architectures) to solve scientific and mission-driven problems. Distinct from sibling Data Science/ML focuses (which center on data products and learned models) and from pure Computational/Statistics focuses: this focus is anchored in formulating real-world problems as mathematical models and designing/analyzing the numerical methods that solve them at scale.

Medical Device Product Development — the design, development, verification/validation, risk management, and design transfer of novel medical devices and combination products under design controls (FDA 21 CFR 820, ISO 14971). Distinct from general mechanical or software engineering focuses in its regulated environment: every design decision is traced through the Design History File, validated against user needs, and transferred to manufacturing under documented design control. Covers CAD/FEA design, materials/biocompatibility, test method development, and regulatory strategy for active and passive devices.

Medical Device Product Development — the design, development, verification/validation, risk management, and design transfer of novel medical devices and combination products under design controls (FDA 21 CFR 820, ISO 14971). Distinct from general mechanical or software engineering focuses in its regulated environment: every design decision is traced through the Design History File, validated against user needs, and transferred to manufacturing under documented design control. Covers CAD/FEA design, materials/biocompatibility, test method development, and regulatory strategy for active and passive devices.

Applied Mathematics — develops and applies mathematical models, numerical algorithms, optimization, and statistical/computational methods (on HPC/GPU architectures) to solve scientific and mission-driven problems. Distinct from sibling Data Science/ML focuses (which center on data products and learned models) and from pure Computational/Statistics focuses: this focus is anchored in formulating real-world problems as mathematical models and designing/analyzing the numerical methods that solve them at scale.

Applied Mathematics — develops and applies mathematical models, numerical algorithms, optimization, and statistical/computational methods (on HPC/GPU architectures) to solve scientific and mission-driven problems. Distinct from sibling Data Science/ML focuses (which center on data products and learned models) and from pure Computational/Statistics focuses: this focus is anchored in formulating real-world problems as mathematical models and designing/analyzing the numerical methods that solve them at scale.

Medical Device Product Development — the design, development, verification/validation, risk management, and design transfer of novel medical devices and combination products under design controls (FDA 21 CFR 820, ISO 14971). Distinct from general mechanical or software engineering focuses in its regulated environment: every design decision is traced through the Design History File, validated against user needs, and transferred to manufacturing under documented design control. Covers CAD/FEA design, materials/biocompatibility, test method development, and regulatory strategy for active and passive devices.

Medical Device Product Development — the design, development, verification/validation, risk management, and design transfer of novel medical devices and combination products under design controls (FDA 21 CFR 820, ISO 14971). Distinct from general mechanical or software engineering focuses in its regulated environment: every design decision is traced through the Design History File, validated against user needs, and transferred to manufacturing under documented design control. Covers CAD/FEA design, materials/biocompatibility, test method development, and regulatory strategy for active and passive devices.

Applied Mathematics — develops and applies mathematical models, numerical algorithms, optimization, and statistical/computational methods (on HPC/GPU architectures) to solve scientific and mission-driven problems. Distinct from sibling Data Science/ML focuses (which center on data products and learned models) and from pure Computational/Statistics focuses: this focus is anchored in formulating real-world problems as mathematical models and designing/analyzing the numerical methods that solve them at scale.

Biotech R&D — wet-lab discovery and translational science for biologics and cell/gene therapy programs, spanning mammalian cell culture, CRISPR-based cell engineering, molecular biology, and functional immune assays from antigen design through hit identification, lead selection, and IND-enabling studies. Distinct from computational/bioinformatics-only focuses (here NGS analysis supports bench programs) and from process/CMC manufacturing focuses (here the emphasis is discovery experimentation and program science, not GMP production scale-up). The Management track owns people leadership, lab operations, program timelines, CRO/vendor oversight, and scientific strategy rather than primarily executing experiments.

Biotech R&D — wet-lab discovery and translational science for biologics and cell/gene therapy programs, spanning mammalian cell culture, CRISPR-based cell engineering, molecular biology, and functional immune assays from antigen design through hit identification, lead selection, and IND-enabling studies. Distinct from computational/bioinformatics-only focuses (here NGS analysis supports bench programs) and from process/CMC manufacturing focuses (here the emphasis is discovery experimentation and program science, not GMP production scale-up). The Management track owns people leadership, lab operations, program timelines, CRO/vendor oversight, and scientific strategy rather than primarily executing experiments.

Biotech R&D — wet-lab discovery and translational science for biologics and cell/gene therapy programs, spanning mammalian cell culture, CRISPR-based cell engineering, molecular biology, and functional immune assays from antigen design through hit identification, lead selection, and IND-enabling studies. Distinct from computational/bioinformatics-only focuses (here NGS analysis supports bench programs) and from process/CMC manufacturing focuses (here the emphasis is discovery experimentation and program science, not GMP production scale-up). The Management track owns people leadership, lab operations, program timelines, CRO/vendor oversight, and scientific strategy rather than primarily executing experiments.

Biotech R&D — wet-lab discovery and translational science for biologics and cell/gene therapy programs, spanning mammalian cell culture, CRISPR-based cell engineering, molecular biology, and functional immune assays from antigen design through hit identification, lead selection, and IND-enabling studies. Distinct from computational/bioinformatics-only focuses (here NGS analysis supports bench programs) and from process/CMC manufacturing focuses (here the emphasis is discovery experimentation and program science, not GMP production scale-up). The Management track owns people leadership, lab operations, program timelines, CRO/vendor oversight, and scientific strategy rather than primarily executing experiments.

Biotech R&D — wet-lab discovery and translational science for biologics and cell/gene therapy programs, spanning mammalian cell culture, CRISPR-based cell engineering, molecular biology, and functional immune assays from antigen design through hit identification, lead selection, and IND-enabling studies. Distinct from computational/bioinformatics-only focuses (here NGS analysis supports bench programs) and from process/CMC manufacturing focuses (here the emphasis is discovery experimentation and program science, not GMP production scale-up). The Management track owns people leadership, lab operations, program timelines, CRO/vendor oversight, and scientific strategy rather than primarily executing experiments.