Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead AI/ML projects to revolutionise drug development and improve patient outcomes.
- Company: Join GSK, a leader in innovative healthcare solutions.
- Benefits: Competitive salary, bonuses, healthcare, and flexible working options.
- Why this job: Make a real impact in medicine using cutting-edge AI/ML technologies.
- Qualifications: PhD in AI/ML or related fields with strong coding skills.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 60000 - 84000 £ per year.
Clinical Pharmacology Quantitative Medicine (CPQM) is accountable for applying clinical pharmacology strategies and the principles of quantitative medicine across RIIRU (Respiratory, Immunology & Inflammation Research Unit) to enable end-to-end development of transformative medicines. A key component of the CPQM mission is to harness AI/ML and mechanistic modelling to drive robust Development Strategies including dose, endpoint and population selection; smart clinical trials and Model Informed Drug Development (MIDD) evidence. Hybrid AIML-Pharmacometrics/QSP methodologies combine AI/ML with mechanistic modelling to integrate novel data types (e.g., imaging, biomarkers, OMICs, digital endpoints, real-world data) for predictive and impactful decision-making.
This role focuses on the practical application of emerging AI/ML and hybrid AI/ML-Pharmacometrics methodologies to projects at asset and disease levels, supporting a wide range of clinical development decisions across RIIRU. The role involves collaborating with Clinical Pharmacology leads and cross-functional teams to integrate diverse biomedical data (clinical, imaging, biomarkers, OMICs, digital health, real-world data) into hybrid AI/ML-Pharmacometrics approaches, direct stakeholder engagement, identifying high-impact opportunities, analysis planning, execution, interpretation and communication of results and impact.
This position is an excellent entry point for experienced quantitative scientists with a background in AI/ML (e.g., PhDs in AI/ML or related fields), drug development and Pharmacometrics/QSP seeking to apply those techniques to benefit patients at the frontier of medicine.
We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme. We embrace modern work practises; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in-office work.
In this role you will:
- Manage stakeholder engagement: Proactively interact with stakeholders, line and middle management, staff and external contacts on a functional and tactical level. Identify high impact opportunities for hybrid AI/ML-pharmacometrics approaches on projects.
- Execute portfolio projects: Apply AI/ML and hybrid AI/ML-pharmacometrics approaches to deliver analyses that inform drug development decisions (dose, regimen, endpoint, population, trial design).
- Work cross-functionally: Collaborate with CPMS leads, QSP modellers, statisticians, and digital/imaging experts to integrate AI/ML analyses with existing modelling frameworks. Develop analysis plans, conduct analyses and communicate interim/final results.
- Contribute to our capabilities: Engage with academic groups and external vendors supporting joint internal-external projects. Identify best practices and disseminate learnings from internal and external sources.
- Drive awareness: Deliver training, seminars, and internal communications to increase literacy in AI/ML-pharmacometrics across CPQM and RIIRU.
- Have external influence: Conference presentations, posters, and publications in scientific journals to represent GSK's impact in AI/ML for drug development.
Basic Qualifications & Skills
We are looking for a professional with these required skills to achieve our goals:
- PhD (or equivalent) in AI/ML or related quantitative fields or in Life Sciences.
- Strong foundation and experience in building and applying AI/ML models.
- Strong foundation and experience in statistics and/or pharmacometrics / quantitative clinical pharmacology.
- Strong industry drug development experience, working within teams.
- Experience coding AI/ML pipelines in Python/PyTorch or Julia/Pumas.
- Strong interest and experience in promoting hybrid AI/ML-pharmacometrics expertise. Developing people and processes.
- Excellent collaboration and communication skills (written, verbal and presentation), with experience working in interdisciplinary teams.
Preferred Qualifications & Skills
If you have the following characteristics, it would be a plus:
- Direct pharmacometric project experience.
- Direct experience applying AIML approaches for longitudinal data and/or SciML approaches.
- Familiarity with the application of agentic AI to enhance novel process integration.
GSK is an Equal Opportunity Employer. This includes equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information, military service or any basis prohibited by law. We support flexible and agile working arrangements where possible. If adjustments are needed to participate in the process, contact us at UKRecruitment.Adjustments@gsk.com to request assistance. For questions not related to adjustments, please refer to our Recruitment FAQ guide.
Director, MIDD AI/ML Scientist employer: The Association of Technology, Management and Applied Engineering
Contact Detail:
The Association of Technology, Management and Applied Engineering Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director, MIDD AI/ML Scientist
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant events, and engage with professionals on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects and any relevant work you've done. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to AI/ML and pharmacometrics. Practice articulating your experiences and how they align with the role. Confidence is key, so rehearse until you feel ready to shine!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining our team at GSK. Let's get you that dream job!
We think you need these skills to ace Director, MIDD AI/ML Scientist
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in AI/ML and pharmacometrics. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Showcase Your Collaboration Skills: Since this role involves working with cross-functional teams, it’s important to demonstrate your collaboration experience. Share examples of how you’ve successfully worked with others to achieve common goals.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use straightforward language to explain your achievements and experiences. We appreciate a well-structured application that’s easy to read!
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’re considered for the role. Plus, you can explore more about our company culture while you’re there!
How to prepare for a job interview at The Association of Technology, Management and Applied Engineering
✨Know Your AI/ML Inside Out
Make sure you have a solid grasp of AI/ML concepts and methodologies. Be prepared to discuss your experience with building and applying models, especially in the context of drug development. Brush up on your coding skills in Python or Julia, as you might be asked to demonstrate your technical expertise.
✨Showcase Your Collaborative Spirit
This role involves working cross-functionally, so highlight your teamwork skills. Prepare examples of how you've successfully collaborated with diverse teams, such as statisticians or digital health experts. Emphasise your communication skills and how you’ve engaged stakeholders in previous projects.
✨Prepare for Real-World Applications
Be ready to discuss how you've applied AI/ML in real-world scenarios, particularly in clinical settings. Think about specific projects where your analyses informed drug development decisions. This will show your practical understanding of the role and its impact on patient outcomes.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest trends in AI/ML and pharmacometrics. Being knowledgeable about current research and advancements can set you apart. Consider discussing recent publications or conferences you've attended that relate to the role, demonstrating your commitment to continuous learning.
