Enable job alerts via email!

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

JR United Kingdom

Nottingham

Remote

GBP 85,000 - 110,000

Full time

23 days ago

Job summary

A mid-sized pharmaceutical company is seeking an Associate Director, AI Data Scientist to lead AI initiatives transforming clinical trial execution. The ideal candidate will have an advanced degree and extensive experience in AI applications within healthcare. This fully remote role offers the chance to impact patient outcomes through innovative digital tools.

Qualifications

  • 7–10 years’ experience, with 3+ years applying AI/ML to healthcare.
  • Hands-on experience with LLMs, generative AI, and NLP for medical text.
  • Experience in digital healthcare tool development is advantageous.

Responsibilities

  • Lead AI/ML/GenAI initiatives to optimize clinical trial operations.
  • Develop GenAI applications for automated clinical trial documentation.
  • Collaborate with teams to deliver AI-driven business value.

Skills

Python
R
TensorFlow
PyTorch
AI/ML experience in healthcare

Education

Advanced degree (MS/PhD) in Data Science, Computer Science, Biostatistics

Tools

AWS
MLOps
Job description

Social network you want to login/join with:

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

col-narrow-left

Client:

Planet Pharma

Location:

nottingham, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Views:

2

Posted:

26.08.2025

Expiry Date:

10.10.2025

col-wide

Job Description:

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.

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.