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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 and 3-5 years of relevant experience.
- Other info: Opportunity for career growth in a dynamic, cross-functional team.
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 when solving problems.
✨Tip Number 3
Showcase your projects! Create a portfolio that highlights your AI/ML solutions, especially those related to healthcare. This will give potential employers a tangible sense of your capabilities and how you can add value to their team.
✨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 is tailored to the job description. Highlight your experience with AI/ML in healthcare and any relevant projects you've worked on. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI in clinical trials and how you can contribute to our mission. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: Don’t forget to showcase your technical skills, especially in Python/R and ML frameworks like PyTorch or TensorFlow. We’re looking for someone who can hit the ground running, so make sure we see your expertise front and centre.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at BioTalent
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of AI, ML, and GenAI, especially in the context of healthcare. Be ready to discuss specific projects where you've applied these technologies, and how they can transform clinical trial operations.
✨Showcase Your Collaboration Skills
Since this role involves working with various teams, prepare examples that highlight your ability to collaborate effectively. Think about times when you’ve worked cross-functionally and how you translated complex data science concepts into actionable insights for non-technical stakeholders.
✨Demonstrate Compliance Awareness
Familiarise yourself with regulatory and data privacy standards relevant to the biopharma industry. Be prepared to discuss how you ensure compliance in your work, particularly when developing AI applications that handle sensitive healthcare data.
✨Prepare for Technical Questions
Expect to dive deep into your technical skills during the interview. Brush up on Python/R and ML frameworks like PyTorch and TensorFlow. You might be asked to solve a problem on the spot, so practice coding challenges related to predictive modelling and generative AI.