Computational Scientist

JR United Kingdom; United Kingdom; Remote; GBP 60,000 - 90,000; Full time

Job summary

Join a forward-thinking consultancy renowned for its expertise in the biopharma sector. This role as a Modelling and Simulation Scientist offers the chance to lead impactful projects across various client organizations, from emerging biopharma to top-tier pharmaceutical companies. You will leverage your PhD expertise in mathematical and statistical modelling to deliver innovative solutions in quantitative pharmacology. With the flexibility of remote work and the option to collaborate in the Oxford office, you will be at the forefront of advancing research in oncology and beyond. This is a unique opportunity to make a significant impact in a growing field.

Qualifications

• PhD in a relevant field with a focus on mathematical/statistical modelling.
• 2+ years of experience in mathematical modelling and simulations.

Responsibilities

• Deliver high-quality quantitative pharmacology modelling and simulation projects.
• Analyse and interpret experimental data from preclinical and clinical studies.

Skills

Mathematical Modelling

Simulation Techniques

Data Analysis

Statistical Modelling

Education

PhD in Mathematical/Statistical Modelling

Tools

R

MATLAB

Job description

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This is an opportunity to join a growing consultancy business, renowned for their work across emerging biopharma companies to top-tier pharma and leading research institutes. They have a huge presence across the oncology fields in particular, with several long standing global clients. As part of their growth, they are recruiting for an experienced Modelling and Simulation Scientist who will join the Quantitative Pharmacology Team.

You will have the opportunity to work fully remote, with the option for office in Oxford! You will lead clients on their journey to success, putting into practice your expertise across various modelling techniques such as QSP, PK/PD. Clients will range from small to enterprise organisations with specialist research areas.

Core responsibilities

• Deliver high quality quantitative pharmacology modelling and simulation projects
• Analyse and interpret experimental data from preclinical and clinical studies
• Develop, refine, or implement existing models such as PK/PD, popPK, PBPK and QSP models
• Work directly with customers to understand scope

Core requirements

• PhD in a subject where mathematical/statistical modelling of biology/pharmacology was conducted
• At least 2 years’ experience providing mathematical modelling & simulations
• Experience in R and MATLAB.
• Experience with data science, (data manipulation, analysis, and visualisations)