Next Phase Recruitment
Senior Scientist

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Senior Scientist – Biopharmaceutics Modelling & Simulation (PBPK/PBBM)
An exciting opportunity has arisen for a Senior Scientist with expertise in Physiologically Based Pharmacokinetic (PBPK) and Physiologically Based Biopharmaceutics Modelling (PBBM) to join a growing pharmaceutical development team.
This role will play a key part in applying mechanistic modelling and simulation approaches to support formulation development, predict clinical performance, and enable data-driven decision making across drug development programmes. Working within multidisciplinary project teams, you will contribute to model-informed drug development strategies and support regulatory submissions through the application of advanced modelling techniques.
Key Responsibilities
- Develop, verify and apply PBPK and PBBM models using platforms such as Simcyp, GastroPlus, PK-Sim or equivalent software.
- Support the prediction and assessment of oral absorption, bioavailability, food effects, formulation changes and virtual bioequivalence.
- Conduct sensitivity analyses, model calibration, scenario testing and uncertainty assessments to support development decisions.
- Collaborate with scientists across formulation development, biopharmaceutics, clinical pharmacology and pharmacokinetics teams.
- Support the development of clinically relevant dissolution methods and in vitro-in vivo relationships where appropriate.
- Present modelling outcomes through technical reports, project team meetings, scientific publications and regulatory documentation.
- Contribute to innovation within modelling and simulation, including automation, data science and emerging AI-enabled approaches.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Requirements
- MSc or PhD in Pharmaceutical Sciences, Biopharmaceutics, Pharmacokinetics, Pharmacometrics, Chemical Engineering or a related scientific discipline.
- Demonstrated experience within PBPK, PBBM, pharmacometrics or model-informed drug development.
- Strong understanding of oral drug absorption, dissolution, permeability and pharmacokinetic principles.
- Hands-on experience using modelling platforms such as Simcyp, GastroPlus, PK-Sim or similar tools.
- Ability to translate complex scientific data into practical development recommendations.
- Excellent scientific communication and stakeholder engagement skills.
- Evidence of scientific contribution through publications, presentations, technical reports or regulatory submissions.


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Desirable Experience
- Supporting regulatory submissions involving PBPK or PBBM analyses.
- Virtual bioequivalence assessments and clinically relevant dissolution strategies.
- Programming experience with Python, R, MATLAB or similar scientific tools.
- Machine learning, AI or data science applications within pharmaceutical development.
- Experience working with challenging drug candidates, including poorly soluble compounds, enabling formulations, peptides or complex dosage forms.
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