Jordan Majka is an Associate Scientist and Tufts PB/MS Computer Science graduate student with 13 years of experience bridging biology, clinical research, and process development. Trained in biochemistry and molecular biology at Clark University, Jordan has progressed through hands-on roles in AAV biology, library construction for genomic workflows, and clinical trial coordination, now contributing to therapeutic discovery at Dyno Therapeutics. He combines laboratory rigor—troubleshooting robotics and improving sequencing processes—with strong communication skills and a track record of translating wet-lab insights into scalable workflows. Equally comfortable leading experiments or integrating into cross-functional teams, Jordan is focused on the intersection of medicine and AI, bringing a rare blend of bench expertise and computational training to accelerate biologics development.
13 years of coding experience
10 years of employment as a software developer
Bachelor's degree, Biochemistry and Molecular Biology, Bachelor's degree, Biochemistry and Molecular Biology at Clark University
Master's degree, Computer Science, Master's degree, Computer Science at Tufts University
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