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- Tasks: Lead AI and ML strategies in Pharmacometrics for innovative drug development.
- Company: Join a forward-thinking Quantitative Clinical Pharmacology group.
- Benefits: Competitive salary, professional growth, and the chance to shape future healthcare.
- Other info: Collaborative environment with opportunities to mentor and lead teams.
- Why this job: Make a real impact in drug discovery using cutting-edge AI and ML technologies.
- Qualifications: PhD or MD with 8+ years in pharmacometrics and AI/ML experience.
The predicted salary is between 80000 - 100000 £ per year.
We are looking for an innovative and agile Pharmacometrics Lead to join a Quantitative Clinical Pharmacology group.
About the role
You will lead the Pharmacometrics AI and ML strategy to support the development of a growing portfolio. This includes dose selection, trial design, extrapolation where appropriate, PIP development, and the ongoing evaluation of emerging clinical data across programs.
What you’ll be responsible for:
- Developing, implementing, and leading AI and ML strategy within Pharmacometrics and Quantitative Clinical Pharmacology
- Evaluating and adopting emerging technologies across pharmacometrics and quantitative clinical pharmacology
- Performing hands-on AI and ML, population PK/PD, exposure response modeling, and clinical trial simulations on project teams
- Delivering submission‑ready, fit‑for‑purpose pharmacometrics analysis plans and reports
- Initiating and overseeing outsourced pharmacometrics and AI and ML work, with responsibility for internalizing activities where appropriate
- Supporting and mentoring the development of the pharmacometrics team from both a scientific and technical perspective
- Applying state‑of‑the‑art methodologies to optimize drug discovery and development
- Working across global regulatory pathways, including engagement with health authorities and external working parties, particularly in Paediatrics, Neurology, and Immunology
- Partnering closely with QCP Leads to ensure full integration of pharmacometrics into development programs
- Promoting MID3 principles internally and externally
What we’re looking for:
- PhD or MD in pharmaceutical sciences, statistics, engineering, or a related discipline
- 8+ years of industry experience in pharmacometrics, with at least 2 years applying AI and ML in drug development
- Strong hands‑on expertise in population PK/PD, disease progression modeling, and clinical trial simulation
- Deep understanding of Bayesian methodologies and model‑based meta‑analysis
- Practical experience with R, Python, Matlab, NONMEM, or related pharmacometrics tools
- An agile mindset with the ability to prioritize and adapt across multiple projects
- Excellent communication, collaboration, and presentation skills
Interested in shaping the future of Pharmacometrics through AI and ML? This role offers the opportunity to lead scientifically, influence strategy, and work across global development programs.
Pharmacometrics Lead employer: Skills Alliance
Contact Detail:
Skills Alliance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pharmacometrics Lead
✨Tip Number 1
Network like a pro! Reach out to professionals in the pharmacometrics field on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your AI and ML projects in pharmacometrics. This will give you an edge during interviews and demonstrate your hands-on expertise.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors to refine your communication and presentation skills. Being able to articulate your experience is key!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it’s a great way to stay updated on new opportunities.
We think you need these skills to ace Pharmacometrics Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Pharmacometrics Lead role. Highlight your expertise in AI and ML, as well as any hands-on experience with population PK/PD and clinical trial simulations.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about Pharmacometrics and how your background makes you the perfect fit for our team. Don’t forget to mention your innovative mindset and agile approach!
Showcase Your Technical Skills: Be sure to include specific examples of your experience with R, Python, or other pharmacometrics tools. We want to see how you've applied these skills in real-world scenarios, especially in relation to AI and ML strategies.
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, it shows you’re keen on joining our innovative team!
How to prepare for a job interview at Skills Alliance
✨Know Your Stuff
Make sure you brush up on your knowledge of pharmacometrics, AI, and ML. Be ready to discuss specific methodologies you've used, especially in population PK/PD and clinical trial simulations. This shows you're not just familiar with the concepts but have hands-on experience.
✨Showcase Your Leadership Skills
Since this role involves leading a team, be prepared to share examples of how you've mentored others or led projects in the past. Highlight your ability to integrate pharmacometrics into development programs and how you've influenced strategy in previous roles.
✨Be Agile and Adaptable
The job requires an agile mindset, so think of examples where you've successfully prioritised and adapted to changing project needs. Discuss how you manage multiple projects and ensure that you deliver high-quality results under pressure.
✨Engage with Regulatory Knowledge
Familiarise yourself with global regulatory pathways, especially in Paediatrics, Neurology, and Immunology. Be ready to discuss how you've engaged with health authorities in the past and how you can apply that knowledge to this role.