PKPD Modeling Scientist

Permanent Role

Mason Day at Umbilical Life is shortlisting for a PKPD Modeling Scientist to join a leading Pharma company.

I would like to speak to talented individuals who wish to be an integral part of an exciting team. For a confidential conversation call Mason Day  +44 116 461 0070 .

Accountable for:

• Develop and execute a modelling-based strategy for preclinical projects and lead the project team discussions on the human dose prediction prior to candidate selection.
• Use PKPD modelling to generate hypotheses and design better, model-informed experiments.
• Develop and apply PKPD models to influence critical decisions in drug discovery and development, including target selection, lead optimisation, candidate selection and early clinical development.
• Establish concentration-effect relationships, linking drug, target PD and efficacy, from preclinical experiments and provide translation modelling to predict human effects, human doses and early design of clinical trials.
• Work closely with other preclinical scientists and with matrix teams to aid the design of experiments and interpretation of the data generated to define project direction and decisions.
• Communicate/ report modelling predictions to key stakeholders to facilitate strategy and decision-making
• Active engagement with external modelling community and maintain awareness of new /emerging techniques relevant to the field.
• Manage student and post doc programmes

Qualifications/ Requirements:

• Bachelor’s degree (or equivalent) in biological sciences, pharmacology or other data science discipline
• Prior hands on experience in providing PK/PD input into the design and interpretation of early preclinical in vivo studies or an advanced degree (PhD or MSc) in relevant scientific discipline (e.g. Pharmacology, pharmaceutical sciences or related fields such as maths, physics and engineering)
• A track record of applying translational PK/PD modelling
• Understanding of the principles of ADME and pharmacokinetics, (non-compartmental, compartmental, PBPK) and the use of pre-clinical data for human efficacious dose prediction
• Proficient in the use of software and applications in the area of PKPD modelling and simulation (e.g. NONMEM, R, Phoenix, MATLAB, Berkeley Madonna or comparable tools)

For a confidential conversation call Mason Day  +44 116 461 0070 .