Anastasia Budinskaya

Investor

2024

Co-Founder & CBO

2023

• Strategic Planning: Established foundation and shaped 3 pillar initiatives: multiple event series in biotech hubs; pharma to startup mentoring program; next generation career initiative. Expanding to awarding grant funding. • Program Design & Execution: Co-authored and led 5-year strategic plan centered on domestic and international expansion. Within 12 months, hosted 5,000+ lifesci professionals (VC, founder, pharma, etc.) across 8 cities through monthly events. • Business Development: Devised strategy to bring on 50+ partnerships and sponsors for projected annual $500K sponsorship.

Creator

2023

Hosting happy hours across biotech hubs

Senior Manager, Operations and Strategic Initiatives

2024 - 2024

Venture Associate

2022 - 2023

Search and Evaluation Fellow

2022 - 2022

Scientific Leader, Neurology

2021 - 2022

Implemented the clinical technology transfer of Altropane, a next generation DAT SPECT imaging agent, into the Pharmaceutical Diagnostics business Designed and implemented USA based clinical trials with various R&D functional leaders Authored clinical, regulatory, and business case documents in collaboration with SMEs to support New Product Initiatives within the R&D neurology portfolio Developed and maintained the USA and EU scientific strategy for the Neurology imaging programs with internal teams and external partners

Corporate & Clinical Development

2018 - 2021

Facilitated partnership discussions which led to multiple offers for development and commercialization in the USA, Europe, and Japan, and resulted in a global licensing deal with GE Healthcare Conducted industry diligence, competitive landscape analysis, and represented the company at investor events. De‑risked funding by organizing successful royalty renegotiation Performed an audit and gap analysis for 7 historic sponsored studies Co‑authored patents concerning radiotracer dosing and imaging Sourced and implemented project management software based on company needs

Founder

2018 - 2020

Control Systems Engineer Intern

2018 - 2018

Implemented machine learning algorithms with TensorFlow in Python to analyze data from a medical device to enhance patient safety and usability Collected a clean and reliable data set from multiple medical devices for future algorithm testing Communicated project status in weekly progress meetings with the control systems development team Evaluated the regulatory environment for the medical device industry and produced a reimbursement primer for the DEKA business development team.