The lab trains deliberately for both academic faculty and industry research career trajectories. The choice of track is made by the trainee based on their own goals and is revisited as goals evolve. The training program is designed so that the core skill set, mechanistic depth at the engineering-biology interface, multi-modal neuromodulation, longitudinal in vivo readout, and computational analysis, opens both pathways without forcing early commitment.
Trainees committed to the academic faculty path receive structured support across the PhD or postdoc.
• Fellowship submission support beginning in year 1, with co-authorship on F31, F32, K99/R00, and foundation applications
• First-author paper trajectory planning, with target of 4 to 6 first-author papers across the dissertation
• Conference presentation opportunities, including major society meetings (Society for Neuroscience, BMES, Neural Interfaces Conference, Gordon Research Conference on Neuroelectronic Interfaces, BRIDGE-STIM)
• Teaching exposure through Pitt Bioengineering courses (BIOENG 1615 / 2615 Introduction to Neural Interface Engineering, BIOENG 2901 Technical Writing Workshop II) and through CNUP teaching opportunities
• Grant-writing co-authorship as projects mature, including R01 supplements, equipment grants, and program project applications
• Faculty job market preparation in the final year, including chalk talk and seminar feedback, application package review, and interview preparation
Trainees committed to the industry research path benefit from the lab's active engagement with the neural interface and medical device industry.
• Active collaborations with neural interface companies, with project links that allow trainees to build relationships during the PhD or postdoc
• Internship opportunities through industry partners, where the trainee's work in the lab maps to a defined industry research scientist role
• Direct introductions to research scientist hiring managers in the network, anchored by Dr. Kozai's prior Fontis Biotechnology founding history and ongoing industry advisory roles
• Explicit guidance on translating academic skills to industry interview performance, including how to frame mechanistic depth as the differentiator industry research roles actually value
• The training program's emphasis on cross-modality competence, which is the skill set most directly transferable to industry research roles
A growing fraction of post-PhD opportunities sit between traditional academic and industry tracks, including translational research scientist positions at clinical centers, science policy roles at NIH and federal agencies, and consulting and advisory roles in the neural interface industry. The lab supports these hybrid trajectories through Dr. Kozai's institutional roles (Center for Research Ethics Fellow, Associate Editor at JNE, NSCEB engagement, Senate testimony, and ongoing science policy writing through the LinkedIn and Substack series), which give trainees direct exposure to the science-policy and translational landscape.
Most academic labs implicitly favor one track or the other, typically academic, occasionally industry-explicit. The B.I.O.N.I.C. Lab's commitment to both tracks is supported by three structural features: (1) the bidirectional research program, which produces scientists who can move fluently between basic mechanism and clinical translation, (2) the cross-modality training program, which develops the technical skill set both academic and industry positions value, and (3) the PI's direct industry-translation experience as a former neurotechnology company founder and the ongoing industry network that supports trainee placement.
The 100 percent fellowship rate during training and the placement record across academic, industry, and policy roles confirm that this dual-track approach produces credible candidates in both directions.