Lead, Pharmacometric AI/ML for Drug Development in Slough

Lead, Pharmacometric AI/ML for Drug Development in Slough

Slough Full-Time 80000 - 100000 £ / year (est.) No working from home possible
UCB

At a Glance

  • Tasks: Lead AI/ML strategy for drug development and drive quantitative pharmacology analyses.
  • Company: UCB, a leader in innovative drug development.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Collaborative environment with global regulatory interactions and team leadership.
  • Why this job: Shape the future of drug development with cutting-edge AI/ML techniques.
  • Qualifications: Senior Pharmacometrics expertise and experience in Bayesian methods.

The predicted salary is between 80000 - 100000 £ per year.

UCB is seeking a senior Pharmacometrics expert to lead AI/ML strategy for drug development.

You will drive quantitative pharmacology analyses, oversee trials simulations, and shape submission‑ready plans.

Collaboration with cross‑functional teams and external partners will be essential.

You will apply Bayesian methods, PK/PD modeling, and exposure‑response analyses to optimise development programs, while guiding a growing team and interfacing with regulators globally.

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Lead, Pharmacometric AI/ML for Drug Development in Slough employer: UCB

UCB is an excellent employer that fosters a collaborative and innovative work culture, particularly in the vibrant field of immunology. With a strong focus on employee growth, UCB offers numerous opportunities for professional development and engagement in cutting-edge research projects. Located in a dynamic environment, employees benefit from a supportive atmosphere that encourages creativity and teamwork, making it a rewarding place to contribute to meaningful advancements in patient solutions.

UCB

Contact Details:

UCB Recruitment Team

We think you need these skills to ace Lead, Pharmacometric AI/ML for Drug Development in Slough

Pharmacometrics
AI/ML Strategy
Quantitative Pharmacology Analyses
Trial Simulations
Bayesian Methods
PK/PD Modeling
Exposure-Response Analyses