At a Glance
- Tasks: Lead clinical pharmacology projects and perform advanced modelling and analysis.
- Company: Dynamic biotech company focused on innovative drug development.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on scientific leadership and innovation.
- 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 Birmingham 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 Birmingham
✨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
Prepare for interviews by brushing up on your technical skills. Since this role is all about PK analysis and modelling, make sure you can confidently discuss your experience with tools like Phoenix WinNonlin and Simulations Plus. Practice explaining complex concepts in simple terms.
✨Tip Number 3
Showcase your collaborative spirit! This role requires working closely with various teams, so be ready to share examples of how you've successfully collaborated in the past. Highlight your ability to communicate effectively across different disciplines.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people. Let’s get you that dream job!
We think you need these skills to ace Principal Clinical Pharmacologist, PBPK/PD Modelling in Birmingham
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 Collaboration Skills:Since this role involves working closely with various teams, make sure to highlight any past experiences where you collaborated effectively. We want to know how you’ve contributed to cross-functional projects and communicated results to diverse audiences.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at The RFT Group
✨Know Your Stuff
Make sure you brush up on your PK analysis and PBPK modelling skills. Be ready to discuss specific tools like Phoenix WinNonlin and Simulations Plus GastroPlus, as well as your experience with R or Python. The more you can demonstrate your technical expertise, the better!
✨Showcase Your Collaboration Skills
This role involves working closely with various teams, so be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you integrated insights from different disciplines to support development decisions.
✨Prepare for Technical Questions
Expect some in-depth questions about your modelling and simulation techniques. Think about how you would approach a specific problem or case study related to clinical pharmacology. Practising these scenarios can help you articulate your thought process clearly.
✨Communicate Clearly
Since you'll need to present complex data to multidisciplinary audiences, practice explaining your analyses and results in simple terms. Use examples from your past work to illustrate how you’ve effectively communicated findings to non-experts.
