Pharmacometrics Lead AI/Machine Learning

Make your mark for patients

We are looking for a Pharmacometrics Lead AI/Machine Learning who is innovative and agile to work in our Quantitative Clinical Pharmacology group , based in our research site in Slough (UK) , Monheim (Germany) or Braine (Belgium) .

About the role
Developing, implementing and leading Pharmacometrics AI/ML strategy to support development of our assets. Extrapolation (where appropriate), dose selection, trial design, PIP development and ongoing evaluation of data as generated.

Who you’ll work with
Reporting to Global Head of Pharmacometrics.

What you’ll do

• Evaluating and implementing emerging technologies for quantitative clinical pharmacology and pharmacometrics applications.
• Performing hands-on AI/ML, population PK/PD, exposure-response modeling and clinical trial simulations on an assigned project.
• Developing submission ready fit for purpose Pharmacometrics analysis plans and reports.
• Initiating and overseeing outsourced pharmacometrics and AI/ML activities and further internalizing the work as needed.
• Supporting the development of a team from both a technical and scientific perspective to ensure state of the art pharmacometrics approaches are applied to optimize drug discovery and development.
• Having a working knowledge about the regulatory pathways on a global basis and opportunities for collaboration with health authorities (either through working parties, advice meetings, and other initiatives) in Paediatrics, Neurology and Immunology.
• Working closely with the QCP Leads assigned to the various projects to ensure clear integration of the pharmacometrics aspects into the programs.
• Promoting MID3 internally and externally.

Interested? For this role you'll need the following education, experience and skills

• Doctorate (PhD or MD) in the related disciplines of pharmaceutical sciences, statistics or engineering.
• 8+ years (Bio)pharmaceutical industry experience in pharmacometrics with at least 2 years of experience in the applications of AI/ML in drug development.
• Hands-on experience in population PK/PD, disease progression modeling, and clinical trial simulations.
• Strong understanding and knowledge of Bayesian methodologies, and model-based meta-analyses.
• Hands on Expertise in R, Python, Matlab, NONMEM or related pharmacometrics software.
• Agile mindset with a proven ability to adjust by prioritizing multiple tasks.
• Outstanding communication, organizational and presentation skills.

Are you ready to ‘go beyond’ to create value and make your mark for patients? If this sounds like you, then we would love to hear from you!

About us
UCB is a global biopharmaceutical company, focusing on neurology and immunology. We are over 9.000 people in all four corners of the globe, inspired by patients and driven by science.

Why work with us?
At UCB, we don’t just complete tasks, we create value. We aren’t afraid to push forward, collaborate, and innovate to make our mark for patients. We have a caring, supportive culture where everyone feels included, respected, and has equal opportunities to do their best work. We ‘go beyond’ to create value for our patients, and always with a human focus, whether that’s on our patients, our employees, or our planet. Working for us, you will discover a place where you can grow, and have the freedom to carve your own career path to achieve your full potential.

At UCB, we’ve embraced a hybrid-first approach to work, bringing teams together in local hubs to foster collaborative curiosity. Unless expressly stated in the description or precluded by the nature of the position, roles are hybrid with 40% of your time spent in the office.

UCB is an equal opportunity employer. All employment decisions will be made without regard to any characteristic protected by applicable laws.

Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on View email address on meeveem.com. Please note should your enquiry not relate to adjustments; we will not be able to support you through this channel.