Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

Tailor your resume to this Co-founder & CTO, AI for predictable drug discovery and development role.

Rezi rewrites your resume against Deep Science Ventures's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Co-founder & CTO, AI for predictable drug discovery and development posting at Deep Science Ventures — free, in seconds.

About the Role

We are building AI to predict clinical trial and drug development outcomes, and quantify the confidence in those predictions. As Co-founder & CTO, you will lead the development of our existing platform, the research program for prediction improvement, and the initial technical team, with the goal of spinning the company out of DSV.

Responsibilities

Develop the platform, taking ownership of the existing system, setting technical priorities, and implementing improvements.
Build the measurement program by defining prediction tasks, linking evidence to outcomes, and developing/comparing modeling approaches.
Test predictive performance and calibration to identify system reliability.
Prevent misleading evaluations by addressing leakage, label quality, and contamination.
Hire the first technical team once funding is in place.
Support fundraising by explaining the technical approach, evidence, limitations, and development plan to investors.

Requirements

Must be hands-on now and intend to stay hands-on.
Able to hold your own in discussions with researchers and investors.
Ability to lead from the front as a founding seat.
Can commit to full-time work from the spin-out.
Experience in evaluation and benchmark design, including defining labels, checking reliability, and designing data splits.
Strong applied statistics understanding, including calibration, confidence intervals, base rates, and limitations of small/noisy datasets.
Breadth across modeling approaches (e.g., Hierarchical and Bayesian inference, classical statistics, graph learning, GNNs, PGMs, learned calibration).
Experience with production LLM systems, including agent orchestration, tool integrations, context management, and evaluation systems.
Hands-on technical leadership experience, including building systems and managing AI coding assistants/pipelines.
Experience with careful interpretation of results, reporting uncertainty and limitations.
Clear technical communication skills to explain and defend decisions.
Able to go full-time from spin-out.
Not currently building, or recently building, a company on the same substrate (agentic reasoning, knowledge graphs, hypothesis generation for drug discovery).
Preferred: Experience with biological or clinical data.
Preferred: Previous founding experience.
Preferred: Research, software, or open-source work that can be reviewed.
Preferred: Time at a frontier AI lab or top AI-for-science company.
Preferred: Experience building evaluation or benchmarking infrastructure used by others.

Skills

AI
Statistics
Platform development
Research program development
Technical leadership
Bayesian inference
Hierarchical inference
Graph learning
Graph neural networks
Probabilistic graphical models
Classical statistics
Learned calibration
LLM systems
Agent orchestration
Tool integrations
Context management
Evaluation systems
Regression testing
Technical communication
Fundraising support

Location

Flexible
UK-based preferred
Remote workable

Work Type

Full-time

Experience Level

Founder
Technical authority from day one

Salary/Compensations

Founder equity

Benefits

Genuine co-founder equity stake
Working platform and published scientific result
Technical authority from day one, architecture included
Access to DSV's global network of investors, advisors and industrial partners
Access to proprietary venture-building tools, resources and processes
Continuous post-spinout support including fundraising, commercial partnerships, recruitment and team-building

About the Company

Deep Science Ventures (DSV) is a leading deep-tech venture studio creating, spinning-out, and investing in science companies.
DSV's mission is to create a future where humans and the planet thrive.
They combine scientific knowledge and founder-type scientists into high-impact ventures across Pharmaceuticals, Climate, Agriculture, and Computation.
Elman is spinning out of DSV's Pharmaceuticals practice.