National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Associate Director, Non-Clinical Pharmacokinetics & Pharmacodynamics (PKPD)

Lifelancer
Slough
8 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

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 roleYou 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 youll 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.
  • Initiate and engage in multifunctional collaborations to facilitate the advancement of drug candidates and build a thorough knowledge of drug pharmacology and PKPD, leading to quantitative translation to the clinic
  • 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.



Interested? For this role were 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
  • Expertise and proven application of PKPD methods and concepts in support of drug discovery and development. Systems modelling experience would be advantageous
  • 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

Lifelancer (https://lifelancer.com) is a talent-hiring platform in Life Sciences, Pharma and IT. The platform connects talent with opportunities in pharma, biotech, health sciences, healthtech, data science and IT domains.

Please use the below Lifelancer link for job application and quicker response.

https://lifelancer.com/jobs/view/c38de5db18455fb1ebde320e1a54d902

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.