Boehringer Ingelheim
Manager/Associate Director Scientific & Strategic Operations (AI Innovation)
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Manager / Associate Director of Scientific and Strategic Operations (AI Innovation)
About the Role
The AI Accelerator—based in London and part of Computational Innovation (@computationalinnovation)—aims to transform drug discovery by applying AI-driven computational biology and multimodal data integration to uncover disease biology and improve clinical outcomes.
This centrally positioned role supports the Head of AI/ML in establishing operational discipline, strategic alignment, and cross-functional execution within the AI Accelerator. As the role evolves alongside the team, you’ll bridge science, strategy, and execution to turn cutting-edge AI into tangible portfolio impact.
Responsibilities
The ideal candidate will:
- Work closely with AI Accelerator Leadership and Computational Innovation (CI) Leadership Team to align long-range planning with operational delivery.
- Collaborate with the global CI PMO to develop operational frameworks, governance, and tools that ensure swift, compliant, and high-impact execution.
- Track AI portfolio milestones, dependencies, and risks, intervening when high-level support is needed to mitigate obstacles.
- Prepare executive-level updates—covering scientific progress, technological milestones, and strategic alignment—for leadership reviews and stakeholder decision-making.
- Serve as a strategy multiplier, advising initiative owners on trade-offs, clarifying expectations, and helping pivot quickly in response to new priorities.
- Drive cross-functional delivery, ensuring AI capabilities are deployed effectively across the portfolio to drive translational impact for patients.
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Requirements
- Education:
- A Master’s degree in Machine Learning, Computer Science, Computational Biology, or a related discipline (PhD, MBA, or MS preferred).
- Experience:
- Strong track record in strategy execution, chief-of-staff, or high-leverage consulting roles (biotech/pharma experience is a plus).
- Demonstrated ability to lead cross-functional projects in ambiguous or fast-moving environments.
- Exceptional stakeholder alignment, particularly at senior leadership levels.
- Skills:
- Mastery of verbal and written communication, with experience producing high-quality executive materials.
- Proven ability to prioritise multithreaded workloads under tight deadlines.
- Diplomacy and emotional intelligence to navigate complex organisational dynamics.
- Creates trust with scientific/technical teams and can understand AI’s role in drug discovery and early development.
- Will to Learn:
- Adaptability to thrive in a rapidly evolving, research-intensive AI environment.
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Candidate Outcomes
The role can be filled at either the Manager or Associate Director level, depending on experience. A clear growth trajectory exists to progress from Manager → Associate Director for the right candidate.
Interfaces & Integration
- Direct reporting to the Head of AI/ML & Data Science.
- Coordination with global PMO, project leads, and Computational Innovation portfolio stakeholders.
- Strategic partnership with scientific teams to embed AI rigorously into disease modelling, target identification, and mechanism validation.
Final Notes
- Interview window: 20 July – 27 July 2024.
- Hybrid role: ~75% office-based, ~25% remote flexibility (w/in London area).
This is an all-hands-on-deck moment in drug research: Are you the captain to unite what’s next?
Why Boehringer Ingelheim?
A Top Employer (UK), the lab fosters autonomous career growth while tackling real-world burdens of medical innovation. Benefits include:
- Wellbeing & access programs (moderate workloads, mental health resources).
- Disruptively innovative work—transforming lives for millions globally.
- Purpose-driven science in a friendly, diverse, and inclusive culture.
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