Associate Director, Non-clinical Pharmacokinetics

**Make your mark for patients**

We are looking for a an enthusiastic, communicative, matrix-team operational individual with Preclinical Pharmacokinetics and pharmacodynamics (PKPD) experience to join us at our Slough site in Berkshire, UK.

**About the role**

You will be an integral part of the team to drive strategy and support projects by exploring PK/PD relationships in pre-clinical models to help understand the dose and schedule requirements for therapeutic interventions.

**What you’ll do**
- Develop and drive the nonclinical PKPD strategy for projects. Communicate this effectively ensuring implementation in projects.
- Ensure translation from in vitro data and in vivo nonclinical studies to prediction of efficacy and safety in patients.
- Build PKPD models to allow hypothesis testing and inform decision-making.
- Provide scientific and technical input, expertise, and leadership to Non-clinical PKPD group, project teams, and the department.
- Work in collaborations with external partners, academic institutions, CROs and consultants as required.
- Maintain an awareness of new / emerging techniques and tools relevant to the field.
- Represent the interests of QCP internally and externally in matters relevant to mechanistic PKPD and contribute to enhancing the scientific reputation of Non-Clinical PKPD
- As required, contribute to Due Diligence of external project, product and technology opportunities
- Provide required support and input into regulatory study protocols, reports and summaries, and regulatory submission documents.

**I**nterested? For this role we’re looking for the following** **education, experience** **and **skills**
- PhD in relevant discipline (pharmacology, bio/engineering, pharmacokinetics/pharmacodynamics, etc.)
- Good understanding of pharmacology and the pharmacology processes related to disease and drug mechanisms
- Demonstrated experience in developing and executing effective nonclinical PKPD strategies from early discovery through to clinic
- Innovative, self-motivated, team-oriented scientist with good written and verbal communication skills, able to handle several projects at any given time, to work successfully in teams and to communicate clearly to a variety of audiences
- Demonstrated leadership skills in a matrix environment, capable of working effectively in teams and influencing relevant stakeholders
- Experience working within a matrix environment with a wide range of internal stakeholders including Non-Clinical Safety, Bioanalysis, Clinical Pharmacology and Translational Medicine.
- Record of publications and other external scientific contributions relevant to PKPD
- Experience in using modelling and simulation packages such as Phoenix, Berkeley Madonna, Monolix, R

If you are interested to learn more about R&D within UCB, please find more information here R&D at UCB.

RANDATUCB

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 around 8,500 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 equitable 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.

UCB and its subsidiaries encourage diversity and inclusion in the workplace; we are an Equal Opportunity Employer. We do not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity.