At a Glance
- Tasks: Lead clinical pharmacology projects and perform advanced PK analysis and modelling.
- Company: Dynamic biotech company focused on innovative drug development.
- Benefits: 12-month contract with competitive pay and opportunities for professional growth.
- Other info: Fast-paced environment with opportunities to expand your skill set.
- Why this job: Make a real impact in clinical development and collaborate with top experts.
- Qualifications: PhD or MSc in life sciences, plus 5+ years in pharma or biotech.
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. This is a 12 month fixed term contract role and this hire must be resident in the UK. 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 Pharmacometrician employer: The RFT Group
As a leading Biotech company, we pride ourselves on fostering a collaborative and innovative work environment that empowers our employees to excel in their roles. With a strong focus on professional development, we offer numerous opportunities for growth and advancement, ensuring that our team members are equipped with the skills and knowledge needed to thrive in the fast-paced world of clinical pharmacology. Located in the UK, our commitment to scientific excellence and employee well-being makes us an exceptional employer for those seeking meaningful and rewarding careers in the life sciences sector.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Clinical Pharmacometrician
✨Tip Number 1
Network like a pro! Reach out to professionals in the biotech and clinical pharmacology fields on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Prepare for those interviews by practising common questions related to PK analysis and modelling. We recommend doing mock interviews with friends or mentors. The more comfortable you are discussing your expertise, the better you’ll shine when it counts!
✨Tip Number 3
Showcase your skills through real-world examples. When discussing your experience, highlight specific projects where you’ve successfully applied PBPK modelling or population PK/PD techniques. We want to see how you can bring value to the team!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we often have exclusive roles listed there that you won’t find anywhere else. Let’s get you that dream job!
We think you need these skills to ace Principal Clinical Pharmacometrician
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Principal Clinical Pharmacometrician. Highlight your relevant experience in clinical pharmacology, modelling, and simulation, and don’t forget to mention any hands-on PK analysis you've done!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Mention specific projects or experiences that align with the job description, especially your collaboration with cross-functional teams.
Showcase Your Technical Skills:Since this role is technical and execution-focused, be sure to showcase your skills in PBPK modelling and population PK/PD modelling. Mention the tools you’ve used, like Phoenix WinNonlin or Simulations Plus, to demonstrate your expertise.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and get you on our radar quickly!
How to prepare for a job interview at The RFT Group
✨Know Your Stuff
Make sure you brush up on your PK analysis and modelling techniques. Be ready to discuss your hands-on experience with tools like Phoenix WinNonlin and Simulations Plus. The more specific examples you can provide, the better!
✨Show Your Collaborative Spirit
This role requires close collaboration with various teams. Prepare to share examples of how you've worked effectively with Clinical Operations, Biostatistics, or other cross-functional teams in the past. Highlight your ability to communicate complex data clearly.
✨Prepare for Technical Questions
Expect some deep dives into your technical knowledge, especially around PBPK and population PK/PD modelling. Brush up on your understanding of model development and interpretation, and be ready to explain your thought process during analyses.
✨Demonstrate Leadership and Accountability
Since this position requires scientific leadership, think of instances where you've taken charge of a project or delivered high-quality outputs under pressure. Be prepared to discuss how you ensure data quality and manage uncertainties in your analyses.