
Deep Origin accelerates drug discovery by combining physics-based modeling with AI to reduce time and risk. Its Balto AI platform provides no-code tools for ligand docking, molecular profiling, and…

Deep Origin accelerates drug discovery by combining physics-based modeling with AI to reduce time and risk. Its Balto AI platform provides no-code tools for ligand docking, molecular profiling, and…
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Deep Origin is building an operating system for science that transforms how life science research is conducted. Led by Michael Antonov, co-founder of Oculus, and backed by Formic Ventures, we are redefining the infrastructure behind modern drug discovery.
We are now building the next-generation platform for predicting drug toxicity in silico, transforming how pharmaceutical companies evaluate safety before clinical trials. Our mission is to reduce failure rates, accelerate drug development, and eliminate unnecessary animal testing through high-fidelity computational models of human biology.
We are not building incremental QSAR tools. We are building foundational infrastructure for predictive toxicology in the age of AI, systems biology, and large-scale computation.
We are seeking an experienced and highly strategic VP/SVP of Drug Discovery to lead and scale our discovery organization across target identification, hit discovery, lead optimization, translational strategy, and clinical transition.
This is a critical executive leadership role for a hands-on scientific leader who has spent significant time navigating the realities of drug discovery and development — someone who understands not only what can work scientifically, but what actually translates into successful therapeutic programs.
This individual will serve as a key scientific and operational leader inside the company, partnering closely with computational scientists, experimental scientists (own lab), platform teams, translational biology, external collaborators, and executive leadership to prioritize programs, guide strategic decisions, and accelerate pipeline execution.
This is not a purely managerial role. We are looking for someone who remains deeply engaged in scientific reasoning, program review, experimental strategy, and portfolio decision-making.
The role is ideal for a senior biotech leader who wants to help build a next-generation AI-enabled discovery organization from the ground up while directly influencing the future direction of therapeutic development.
Deep Origin is entering a phase where scientific innovation, platform infrastructure, and commercial partnerships must scale simultaneously.
This role will help shape how we translate cutting-edge computational capabilities into real drug discovery outcomes — guiding portfolio decisions, advancing programs toward the clinic, and building the foundation of a next-generation discovery organization.
PhD, MD, or equivalent advanced scientific degree in biology, pharmacology, chemistry, immunology, translational medicine, or related field
15+ years of experience in drug discovery and development within biotech, mid-size biotech, platform biotech, and/or pharmaceutical environments
Significant leadership experience in discovery organizations, including VP, SVP, CSO, CEO, or equivalent leadership roles
Proven experience building, scaling, and leading multidisciplinary discovery teams, including managing senior scientific leaders rather than only operating as an individual hands-on contributor
Proven track record advancing therapeutic programs from early discovery through IND-enabling development and/or into the clinic
Deep understanding of translational strategy, preclinical development, and clinical considerations in drug development
Experience working closely with clinical development teams and supporting programs through clinical transition
Strong expertise across multiple drug discovery modalities and approaches, with demonstrated ability to apply strategic scientific judgment
Experience leading cross-functional and multidisciplinary discovery teams
Strong operational mindset with the ability to execute effectively in fast-moving, resource-constrained environments
Excellent communication and stakeholder management skills across scientific, executive, and external audiences.