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Associate Director, AI Data Scientist - Mid-sized pharmaceutical company - Fully remote across UK
JR United Kingdom
Associate Director, AI Data Scientist - Mid-sized pharmaceutical company - Fully remote across UK
JR United Kingdom
Connect with headhunters to apply for similar jobsAssociate Director, AI Data Scientist - Mid-sized pharmaceutical company - Fully remote across UK
Job summary
A pharmaceutical company is seeking an Associate Director, AI Data Scientist to lead the design and implementation of AI solutions transforming clinical trial execution. This role requires an advanced degree and significant experience in AI/ML applications in healthcare. Candidates will collaborate with various teams to optimize patient recruitment and develop digital healthcare tools. The position is fully remote across the UK.
Qualifications
- 7–10 years’ experience with 3+ years in AI/ML healthcare applications.
- Hands-on experience with large language models and natural language processing.
- Proven ability to partner with stakeholders in complex environments.
Responsibilities
- Lead AI/ML initiatives to optimize clinical trial operations.
- Develop GenAI applications for automated clinical trial documentation.
- Create digital healthcare applications supporting patient engagement.
Skills
Education
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Planet Pharma
telford, United Kingdom
Other
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Yes
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2
26.08.2025
10.10.2025
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Planet Pharma is seeking an Associate Director, AI Data Scientist to lead the design and implementation of innovative AI/ML/GenAI solutions that will transform clinical trial execution and digital healthcare. This is a highly visible, strategic role with the opportunity to impact patient recruitment, real-world data generation, and next-generation digital tools across global R&D.
What you’ll do:
? Lead AI/ML/GenAI initiatives to optimize clinical trial operations (patient recruitment, retention, data monitoring, automation).
? Develop GenAI applications for automated clinical trial documentation (protocols, study reports, medical reports, patient narratives).
? Create Digital Healthcare applications to support medical/scientific tools, patient engagement, and real-world evidence generation.
? Design predictive models and generative AI solutions leveraging diverse healthcare data (clinical trials, EHRs, wearables, PROs, HEOR, Phase IV).
? Collaborate with clinical, data science, RWE, and medical affairs teams to deliver AI-driven business value.
? Build relationships with external experts (researchers, regulators, technology partners) to align solutions and stay at the forefront of innovation.
? Ensure compliance with data privacy and regulatory standards while promoting knowledge sharing across teams.
What we’re looking for:
️ Advanced degree (MS/PhD) in Data Science, Computer Science, Biostatistics, or related field
️ 7–10 years’ experience, with 3+ years applying AI/ML to healthcare or clinical research data
️ Expertise in Python, R, TensorFlow, PyTorch, and modern ML frameworks
️ Hands-on experience with LLMs, generative AI, and natural language processing for medical text
️ Familiarity with AWS, MLOps, and cloud-based platforms
️ Proven ability to partner with stakeholders and adapt AI solutions to complex healthcare challenges
️ Experience in digital healthcare tool development (advantageous)
This is a unique opportunity to help shape the future of digital healthcare and clinical research by delivering AI solutions that improve patient outcomes and accelerate therapeutic innovation. At Planet Pharma, we connect top talent with impactful roles that drive innovation in life sciences — and this is one of them.
For more information on this position, please apply now and one of our consultants will get in touch to discuss the opportunity with you in more detail.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.
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