Co-founder & CTO
Elman (Deep Science Ventures)
Elman builds AI to predict clinical trial and drug development outcomes and to quantify confidence in those predictions. The role is a hands-on technical co-founder to lead development, build the evaluation programme, design benchmarks and production LLM systems, and hire the first technical team once funded.
What you’ll do
- Lead development of the platform
- Build the evaluation programme
- Design and run benchmarks
- Develop production LLM systems
- Hire the first technical team once funded
What they’re looking for
- Hands-on technical co-founder
- Experience with benchmark design and applied statistics
- Biology experience useful but not required
Skills
- LLM: production LLM systems, LLM
- applied statistics: applied statistics
- benchmark design: benchmark design, evaluation programme
- modelling: modelling approach, modelling
- biology: biology experience, clinical trial outcomes, drug development
The post
Elman (Deep Science Ventures) | Co-founder & CTO | London, UK-based preferred / REMOTE considered | Full-time | Pre-seed
We're building AI to predict clinical trial and drug development outcomes, and quantify how much confidence those predictions deserve. By linking the evidence available at a decision to the judgement made and what happened next, we aim to learn which experimental findings predict outcomes in which therapeutic settings. The platform is already running, with work from an Allen Institute collaboration described in this preprint https://elman.ai/preprint.
We want a hands-on technical co-founder to lead development, build the evaluation programme and hire the first technical team once funded. Benchmark design, applied statistics and production LLM systems. The modelling approach is open. Biology experience useful, not required.
Founder equity.
Role and application: https://elman.ai/hn