THE AI ACCELERATOR
The AI Accelerator is based in London and operates within Computational Innovation, a global organisation spanning computational biology, human genetics, data excellence and AI. Our mission is to build production‑quality AI capabilities that deepen our understanding of disease biology and increase the probability of success.
We achieve this by applying neural‑based methods across the biomedical data landscape to integrate heterogeneous, multimodal data sources, infer biological relationships, and embed causal thinking into our solutions. The goal is to not only predict but also explain and understand why disease occurs.
THE POSITION
We are looking for a Manager / Associate Director of Scientific and Strategic Operations (AI Innovation) to serve as the operational right hand to the Head of AI/ML. The role owns execution discipline, coordination, and operations across the AI Accelerator, ensuring that strategy translates into delivery.
This position sits at the centre of the Accelerator, spanning its teams and linking the work to the broader goals of Computational Innovation. You will work closely with the global PMO to align the Accelerator’s activities with broader CI goals and governance frameworks.
Key Responsibilities
- Partner with the Head of AI/ML, the AI Accelerator Leadership Team, and the broader CI Leadership Team to support long‑range planning.
- Work with the global CI PMO to build operational processes, tools, and governance structures for effective, aligned execution.
- Track portfolio milestones, dependencies, and risks; surface bottlenecks requiring leadership intervention and ensure delivery of capabilities aligned to Accelerator and Computational Innovation goals.
- Prepare high‑quality materials for leadership reviews, executive/board‑level stakeholder updates, and decision fora covering scientific and technological deliverables, strategic goals, and operational progress.
- Support initiative owners and leadership by outlining options, clarifying expectations, assessing trade‑offs, and helping navigate both ongoing activities and fast‑emerging requests.
- Drive cross‑functional execution across the AI Accelerator, ensuring shipped AI capabilities translate into meaningful impact for the portfolio.
Required Qualifications
- Master’s degree in Machine Learning, Computer Science, Computational Biology or a related discipline; an advanced degree (MS, MBA or PhD) is advantageous.
- Strong experience in high‑leverage strategy or chief‑of‑staff roles; previous strategy experience in a consultancy firm is highly desirable.
- Strong project management skills and proven ability to drive complex cross‑functional initiatives to closure in ambiguous environments.
- Excellent stakeholder management skills, with the ability to build trust and align senior leaders.
- Strong written and verbal communication skills, including experience producing executive‑level materials.
- Demonstrated execution excellence, with the ability to prioritise across multiple workstreams.
- High emotional intelligence, diplomacy and judgement when navigating organisational complexity.
- Comfortable working closely with technical and scientific teams, with the ability to learn and operate credibly in an AI and research environment.
- Understanding of AI and how it can support drug discovery and early clinical development is beneficial.
This is a hybrid role with approximately 3‑4 days a week in the office.
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