At a Glance
- Tasks: Lead clinical pharmacology projects and perform advanced modelling and analysis.
- Company: Join a dynamic biotech company focused on innovative drug development.
- Benefits: Competitive salary, professional growth, and collaborative work environment.
- Other info: Fast-paced environment with opportunities for career advancement.
- Why this job: Make a real impact in drug development with cutting-edge modelling techniques.
- Qualifications: PhD or MSc in life sciences, plus 5+ years in clinical development.
The predicted salary is between 60000 - 80000 £ per year.
Our client, a Biotech company, now seeks a Clinical Pharmacologist with a strong quantitative background to support clinical development through clinical pharmacology, modelling & simulation, and pharmacokinetic analysis. The role is primarily technical and execution-focused, with responsibility for study-level delivery across all phases including PK analysis, PBPK and population PK/PD modelling, for the interpretation of clinical and nonclinical data, preparation of clinical pharmacology deliverables, and presentation of results in cross-functional settings.
The role requires close collaboration with Clinical Operations, Biostatistics, Regulatory, CMC, Toxicology, and Non-clinical, and the ability to translate quantitative analyses into clear, development-relevant conclusions. This position requires scientific leadership, independence, and accountability for high-quality outputs, while working in a fast-paced environment.
Responsibilities:
- Provide hands-on PK analysis and modelling support for clinical studies (Phase 1–3), including noncompartmental analysis, population PK/PD modelling, and PBPK modelling, as appropriate.
- Develop, implement, maintain, and interpret PBPK and population PK/PD models to support dose selection, study design, device/formulation bridging, special populations, and regulatory questions.
- Contribute to the design, analysis, interpretation, and reporting of clinical pharmacology components of clinical studies, under the direction of the Head of Clinical Pharmacology.
- Author and/or contribute to high-quality clinical pharmacology deliverables, including study reports or sections thereof, protocols, investigator brochures, modelling reports, and responses to regulatory questions.
- Integrate clinical pharmacology and pharmacometrics insights with nonclinical PK/ADME, clinical safety, and efficacy data to support development decisions.
- Support cross-functional teams by presenting analyses and modelling results at study team meetings, internal governance forums, and selected external interactions.
- Collaborate effectively with Clinical Operations, Biostatistics, and external vendors/CROs to ensure appropriate data flow, analysis standards, and timelines.
- Critically evaluate data quality, assumptions, and limitations in PK and modelling analyses, and clearly communicate uncertainty and impact on development decisions.
Requirements:
- BSc in Life Science, plus Post-graduate qualification (i.e. PhD or MSc) in a relevant life sciences or quantitative discipline (e.g. clinical pharmacology, pharmacometrics, pharmaceutical sciences, biomedical, or similar).
- 5+ years of experience in pharmaceutical, biotechnology, and/or CRO environments, with hands-on involvement in clinical development programs.
- Hands-on PK analysis experience using Phoenix WinNonlin.
- Hands-on PBPK modelling experience using tools such as Simulations Plus GastroPlus, SimCYP and/or PK-Sim/MoBi, including model development, verification, and interpretation.
- Experience using R (RStudio) and/or Python for data handling, analysis, and visualization.
- Preference for population PK/PD modelling experience using Phoenix NLME, including model development and application.
- Demonstrated ability to analyse complex datasets, build and interpret models, and communicate results clearly and practically to multidisciplinary audiences.
- Willing to expand into adjacent areas (e.g. DMPK, TK, clinical trial operational support) as required by program needs.
Principal Clinical Pharmacologist, PBPK/PD Modelling in Bedford employer: The RFT Group
Join a leading Biotech company that prioritises innovation and collaboration, offering a dynamic work environment where your expertise in clinical pharmacology and modelling will directly impact the development of life-changing therapies. With a strong commitment to employee growth, you will have access to continuous learning opportunities and the chance to work alongside cross-functional teams, fostering a culture of scientific excellence and accountability. Located in a vibrant area, this role not only provides meaningful work but also a supportive atmosphere that values your contributions and encourages professional advancement.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Clinical Pharmacologist, PBPK/PD Modelling in Bedford
✨Tip Number 1
Network like a pro! Reach out to your connections in the biotech and pharmaceutical sectors. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your PK analysis and modelling work. Bring it along to interviews or share it during networking chats. This will help you stand out and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on your PBPK and population PK/PD modelling knowledge. Be prepared to discuss your past projects and how you tackled challenges in your previous roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you. Plus, applying directly can sometimes give you an edge over other candidates. So, what are you waiting for? Get your application in!
We think you need these skills to ace Principal Clinical Pharmacologist, PBPK/PD Modelling in Bedford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your experience in clinical pharmacology and modelling. We want to see how your skills align with the role, so don’t be shy about showcasing your hands-on PK analysis and PBPK modelling experience!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role and how your background makes you the perfect fit. Remember, we love seeing candidates who can translate complex analyses into clear conclusions.
Showcase Your Technical Skills:Don’t forget to highlight your technical skills, especially with tools like Phoenix WinNonlin and Simulations Plus. We’re looking for someone who can hit the ground running, so make sure we know what you bring to the table!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Let’s get started on this journey together!
How to prepare for a job interview at The RFT Group
✨Know Your PK and PBPK Inside Out
Make sure you brush up on your pharmacokinetics (PK) and physiologically based pharmacokinetic (PBPK) modelling knowledge. Be ready to discuss specific examples from your past work where you've applied these concepts, especially using tools like Phoenix WinNonlin or Simulations Plus GastroPlus.
✨Showcase Your Collaboration Skills
This role requires close collaboration with various teams. Prepare to share experiences where you've successfully worked with cross-functional teams, such as Clinical Operations or Biostatistics. Highlight how you communicated complex data and findings to non-experts.
✨Prepare for Technical Questions
Expect technical questions related to population PK/PD modelling and data analysis. Brush up on your R and Python skills, and be ready to explain how you've used these tools in your previous roles. Practising common modelling scenarios can also give you an edge.
✨Communicate Clearly and Confidently
Since you'll need to present analyses and results, practice explaining your work in a clear and concise manner. Use simple language to describe complex concepts, and prepare a few key points that demonstrate your ability to translate quantitative analyses into actionable insights.
