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

Planet Pharma; United Kingdom; On-site; GBP 120,000 - 170,000; Full time

Job summary

A leading biopharmaceutical company is seeking an Associate Director, AI Data Scientist in the United Kingdom. The role involves leading innovative AI solutions to transform clinical trials and digital healthcare. The ideal candidate has an advanced degree, significant experience in AI/ML for healthcare, and expertise in Python and R. Join us to impact patient recruitment and real-world data generation.

Qualifications

• 7–10 years’ experience with 3+ years applying AI/ML to healthcare or clinical research data.
• Proven ability to adapt AI solutions to complex healthcare challenges.
• Experience in digital healthcare tool development is advantageous.
• 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).

Responsibilities

• Lead AI/ML/GenAI initiatives to optimize clinical trial operations.
• Develop GenAI applications for automated clinical trial documentation.
• Collaborate with clinical, data science, and medical affairs teams.
• 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.

Skills

Expertise in Python

Expertise in R

Expertise in TensorFlow

Expertise in PyTorch

Hands-on experience with LLMs

Generative AI experience

Natural language processing

Stakeholder partnership

Education

Advanced degree in Data Science

Tools

Python

R

TensorFlow

PyTorch

ML frameworks

AWS

MLOps

Job description

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, 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)