Explore labs

Covalent Diagnostics Product Lab is designed for students who want to understand how biological ideas are translated into reliable product workflows. The residency exposes students to assay refinement, structured validation, product review culture, and cross-functional communication expectations common in diagnostics teams. Interns support product-facing training modules while learning how technical decisions are shaped by usability, validation, and documentation quality.

Synaptic Neuroengineering Lab is intended for students who want a polished introduction to modern neuroscience training without sacrificing experimental seriousness. The program combines guided exposure to behavioural workflows, neural signal interpretation, neurotechnology discussions, and structured project participation under faculty supervision. Interns are encouraged to think carefully, write clearly, and understand how technical observations connect to broader neuroscientific questions.

Aurelia Translational Oncology Laboratory offers a structured immersion into experimentally grounded cancer research for students seeking rigorous exposure to translational methods. The program combines supervised bench training with weekly translational seminars, data reviews, and case-linked discussions on how molecular observations inform experimental decision-making. Interns participate in tightly managed project modules aligned with active laboratory priorities and are expected to progress from protocol comprehension to accountable execution under faculty and senior scientist oversight.

Forge Bioprocess Development Hub is structured for students who want a professional view of how bioprocess thinking translates into real manufacturing discipline. The internship focuses on process awareness, batch reliability, documentation standards, and the operational mindset required in industrial biotechnology. Interns observe and support structured training modules that connect upstream science, process controls, and quality-oriented decision-making.