Director of Pharmacometrics
Location
Oxford, Oxfordshire | United Kingdom
Job description
About Us
Exscientia is an AI-driven pharmatech company committed to discovering, designing and developing the best possible drugs in the fastest and most effective manner. Exscientia developed the first-ever functional precision oncology platform to successfully guide treatment selection and improve patient outcomes in a prospective interventional clinical study, as well as to progress AI-designed small molecules into the clinical setting.
Our pipeline demonstrates our ability to rapidly translate scientific concepts into precision-designed therapeutic candidates, with more than 15 projects underway. By designing better drugs, faster, we believe the best ideas of science can rapidly become the best medicines for patients.
The Role As Director of Pharmacometrics you will develop and implement model-informed drug development (MIDD) across the development portfolio to optimise study designs and to inform drug development strategies and decision-making. This includes development and application of population PK, PK/PD, exposure-response and other models (such as Model Based Meta Analysis) and working in a collaborative, multidisciplinary manner to improve project team decision-making. You will contribute to activities including integrated efficacy and safety evaluation, dose prediction, biomarker selection, clinical trial design, and regulatory documents and interactions.
Please note this is a hybrid role and occasional travel is required to our offices in Oxford, UK (approximately once per quarter), with flexibility to work from home in the UK the remaining time. We are a flexible working organisation and we’re willing to consider other options which would provide similar contact time with the team. You will have the opportunity to:
- Develop and execute innovative modelling & simulation (M&S) strategic plans for projects in various disease areas and different stages of product development.
- Develop (population) pharmacokinetic and (population) pharmacodynamic models and apply empirical and/or mechanistically-based drug disease models.
- Conduct simulations to inform drug development decisions such as starting dose, efficacious dosage regimen selection and other aspects of trial design.
- Communicate the outcome of M&S analysis to project teams to support decision making.
- Contribute to responses to health authority requests and interactions.
- Collaborate with partners in project team(s) regarding all aspects of M&S to appropriate integration of M&S strategy and results into internal and external project documents (e.g. Clinical Development Plan, Investigator Brochure, NDA documents).
- PhD, PharmD, Msc or MD (in natural sciences, mathematics, physical sciences or engineering)
- 10+ years experience in clinical drug development and 7+ years planning and conducting M&S projects for clinical study data.
- Strategic mindset and clear vision of how and when M&S can contribute value in drug development.
- Significant experience with M&S software (e.g. NONMEM, Monolix, Phoenix, MATLAB, Gastroplus, Simcyp, SAS, R, etc.).
- Keen interest in technological advances (e.g. Bayesian modelling).
- Ability to influence and lead without authority in a matrix organisation and strong written and oral communication.
- Work together to make a positive contribution to patients by revolutionising the pharmaceutical industry through AI-driven discovery
- Opportunity to join an inclusive, collaborative and intellectually stimulating culture
- We will work with you to provide a highly competitive compensation as we continue to grow and thrive
- Our team’s health and well-being is important to us we offer a generous holiday allowance, provide flexible working and remote working to encourage all of our team to manage their own work, time and life along with wellbeing and mindfulness support
- When you are in the office, you will have access to a kitchen stocked with an endless supply of food for all employees. Along with access plenty of break out areas so you can get to know the people you are working with. Some of the best ideas start with a coffee break!
- Hear from our team why they enjoy working here
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