
Chief Technology Officer
4 weeks ago
Job Title: Chief Technology Officer (CTO) / Head of AI — Drug Discovery
Location: Remote (U.S. preferred) / India–U.S. hybrid
Company Stage: Pre-Series A | Venture-Backed
Sector: Biotech | AI-driven Drug Discovery
About the Company
Our client is a venture-backed biotech startup developing a novel oral regenerative drug candidate with a strategic platform approach. Backed by a world-class scientific advisory board (Harvard, UCSD, Helmholtz), they are preparing for IND filing and early-stage clinical development.
They are now building the AI engine to power their next generation of drug discovery, inspired by pioneers like Insilico Medicine and Absci, and are seeking a senior CTO or technical co-founder to lead this transformative vision.
Role Overview
The Chief Technology Officer (CTO) / Head of AI will lead the development of a cutting-edge, AI-first drug discovery platform, combining generative modeling, predictive analytics, cheminformatics, computational chemistry, and biophysics modeling. This is a high-impact, strategic role ideal for an individual passionate about reimagining the future of medicine discovery.
Key Responsibilities
- Architect and build the company's AI/ML infrastructure for target discovery, molecular generation, and therapeutic design
- Lead the development of generative models (e.g., diffusion models, VAEs, GNNs) for novel molecule and protein design
- Integrate cheminformatics, computational chemistry, and biophysics modeling tools into the drug discovery workflow
- Partner with biology and chemistry teams to incorporate wet-lab feedback into model pipelines
- Establish and scale data pipelines, FAIR data systems, and ML model governance
- Drive the AI strategy, team building, and long-term platform roadmap
- Represent technology leadership in discussions with investors and strategic partners
Ideal Candidate Profile
- PhD in Machine Learning, Computational Biology, Bioinformatics, or related field
- 6+ years of experience applying AI/ML in life sciences, ideally within drug discovery
- Proven expertise with generative models and AI tools for drug design (e.g., GNNs, VAEs, LLMs, protein folding)
- Familiarity with cheminformatics, computational chemistry, or biophysics modeling platforms
- Demonstrated ability to scale ML projects in biotech or health-tech environments
- Excellent communication skills with investor-facing and partner-facing capabilities
Nice to Have
- Startup or co-founder experience
- Contributions to open-source platforms (e.g., DeepChem, TorchDrug)
- Knowledge of drug repurposing, phenotypic screening, or multi-omic data fusion
What's on Offer
- Co-founder or executive-level equity opportunity
- Global exposure with a dual India–U.S. operational model
- A chance to build a differentiated, AI-powered biotech platform from the ground up
- Backing from a visionary founder and a world-class scientific advisory board
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