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- Tasks: Develop AI/ML solutions to revolutionise clinical trials and digital healthcare.
- Company: Global biopharma leader focused on life-changing medicines.
- Benefits: Collaborative environment, global impact, and a patient-centric culture.
- Why this job: Transform healthcare with cutting-edge AI technology and make a real difference.
- Qualifications: Advanced degree in Data Science or related field and 3-5 years of relevant experience.
- Other info: Opportunity to work cross-functionally and grow in a dynamic industry.
The predicted salary is between 72000 - 108000 £ per year.
We are a global biopharma company dedicated to developing life-changing medicines in oncology and neuroscience.
We are seeking an AI, Data Scientist (ML focused)
Inside IR-35 6 month contract
This will offer you
- The opportunity to apply AI/ML/GenAI to transform clinical trial operations and digital healthcare
- A collaborative, cross-functional environment with global impact
- A culture focused on patients, science, and real-world outcomes
Your responsibilities
- Develop and implement AI/ML/GenAI solutions for clinical trial optimisation and digital healthcare tools
- Build predictive and generative models using diverse healthcare data sources
- Collaborate with clinical, data science, medical, and operations teams to deliver value-driven AI applications
- Ensure compliance with regulatory and data privacy standards
You will bring
- Advanced degree (MS/PhD) in Data Science, Computer Science, Biostatistics or related field
- 3–5 years’ experience applying AI/ML in healthcare or clinical research
- Strong skills in Python/R and ML frameworks (PyTorch, TensorFlow)
- Experience with generative AI/LLMs and NLP in medical or scientific contexts
- Ability to work cross-functionally and translate business needs into AI solutions
Principal AI Data Scientist employer: BioTalent
Contact Detail:
BioTalent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal AI Data Scientist
✨Tip Number 1
Network like a pro! Reach out to professionals in the biopharma and AI fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with Python, R, and ML frameworks. We recommend doing mock interviews to practice articulating your thought process.
✨Tip Number 3
Showcase your projects! Create a portfolio that highlights your AI/ML solutions in healthcare. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Principal AI Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI/ML, especially in healthcare. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about applying AI in clinical trials and how you can contribute to our mission. Keep it engaging and personal – we love a good story!
Showcase Your Technical Skills: Since this role requires strong Python/R skills and experience with ML frameworks, make sure to mention specific projects where you’ve used these technologies. We’re keen to see your hands-on experience with generative AI and NLP too!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come in through our own channels!
How to prepare for a job interview at BioTalent
✨Know Your AI/ML Stuff
Make sure you brush up on your AI and ML knowledge, especially in the context of healthcare. Be ready to discuss specific projects where you've applied these technologies, particularly using Python or R. Highlight any experience with frameworks like PyTorch or TensorFlow, as this will show you're well-versed in the tools they'll expect you to use.
✨Understand the Business Impact
It's crucial to connect your technical skills to real-world outcomes. Prepare examples of how your work has positively impacted clinical trials or healthcare operations. This shows that you not only understand the tech but also how it translates into value for patients and the business.
✨Collaboration is Key
Since the role involves working with cross-functional teams, be ready to share experiences where you've successfully collaborated with others. Discuss how you’ve translated complex data science concepts into actionable insights for non-technical stakeholders. This will demonstrate your ability to bridge the gap between tech and business needs.
✨Stay Compliant and Ethical
Familiarise yourself with regulatory and data privacy standards relevant to AI in healthcare. Be prepared to discuss how you've ensured compliance in past projects. This will show that you take ethical considerations seriously, which is vital in the biopharma industry.