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Associate Director, AI Data Scientist - Mid-sized pharmaceutical - Fully remote

Remote / Online - Candidates ideally in
Northampton, Northamptonshire, NN1, England, UK
Listing for: Planet Pharma
Remote/Work from Home position
Listed on 2026-09-18
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Scientist, Machine Learning/ ML Engineer, Data Analyst
Job Description & How to Apply Below

Overview

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.

Responsibilities
  • 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.
Qualifications
  • 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, Tensor Flow, 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)
Position Requirements
10+ Years work experience
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