Senior Data Scientist, Life Sciences — Hybrid London

Job Title

Senior Data Scientist, Life Sciences

Location

London, UK

Company Description

Leading applied AI specialist recently acquired by Accenture with a PhD-heavy technical culture.

Salary

Not Disclosed

Job Description

Lead the development of bespoke AI solutions for global pharmaceutical giants and cutting-edge biotechs. You will architect production-grade ML models, design robust software frameworks, and mentor technical teams. This role bridges deep data science with strategic client delivery, tackling high-stakes challenges in drug discovery, clinical trials, and real-world evidence pipelines.

Why this role is remarkable

• Work at the intersection of AI and healthcare, delivering high-impact solutions for biomarker discovery and drug development that affect patient outcomes.
• Join an intellectually rigorous, PhD-led environment known for its commitment to responsible AI and engineering excellence after a major 2026 acquisition.
• Benefit from a culture of extreme flexibility including an unlimited annual leave policy and a hybrid London-based working model.

What You Will Do

• Architect core data science approaches and associated software architectures for high-stakes life sciences engagements.
• Lead project delivery end-to-end, serving as the technical authority for sophisticated clients including pharma giants and research hospitals.
• Mentor and manage a team of data scientists, fostering technical growth and ensuring the application of best practices across the project lifecycle.

The ideal candidate

• Deep domain expertise in Life Sciences with proven experience navigating the sector’s unique regulatory and data complexities.
• Fluent in production-grade Python and deep-learning frameworks like PyTorch, with the ability to build and deploy novel architectures.
• Strong commercial awareness with the ability to translate complex business problems into rigorous mathematical frameworks and lead client-facing workshops.

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