With a strong presence in the pharmaceutical development landscape, this company is recognised for its specialist expertise in the testing and development of inhaled and nasal drug products, providing essential support to global pharmaceutical and biotech clients.
This organisation is based in the United Kingdom and focuses on the development and testing of inhalable and nasal pharmaceutical products. They work closely with pharmaceutical companies to ensure product safety, efficacy, and regulatory compliance.
The team supports pharmaceutical development programs, clients, and academic/regulatory collaborations through modelling, statistics, data science, and software development activities.
Provide scientific and technical leadership and management to a team of Computational Scientists.
Lead the execution of client and internal research and development projects in the field of computational pharmaceutics.
Act as the primary point of contact for problem solving related to computational pharmaceutics (including data analysis, statistics, and physiologically based pharmacokinetic modelling).
Author and review computational reports for scientific and technical accuracy, and review reports from other teams within your area of expertise.
Develop SOPs, tools, processes, and methodologies (including technical, software development, and project management aspects) for use in revenue-generating and internal projects.
Engage proactively with Environment, Health, Safety and Sustainability policies to ensure a safe working environment.
Comply with quality policies to deliver consistent, high-quality work, data, and reports.
Submit timesheets, expense claims, and performance documentation in accordance with policies.
Adhere to company IT and security policies when using equipment such as laptops and phones.
Hands-on experience with software such as GastroPlus, Simcyp, MATLAB, or Python for developing and utilising PBPK/PBBM models.
Experience with statistical programming environments such as R or SAS.
Regulatory processes involving modelling and simulation tools, including interaction with regulatory authorities and authoring of regulatory documentation.
Organised and data-driven decision-maker.
Ability to manage multiple concurrent projects.