Research Scientist II at Certara in Sheffield, England, United Kingdom

Overview

Certara accelerates the potential of bringing medicines to market and to patients using biosimulation software, technology, and services to transform traditional drug discovery and development. Our clients include more than 2,400 biopharmaceutical companies, academic institutions, and regulatory agencies across 70 countries.
Our goal is to enable the life sciences industry’s use of data, modeling, and analytics to make better decisions across the various phases of discovery and drug development. Our software and scientists incorporate modern advances in scientific understanding, drug development experience, data analysis, and AI resulting in significant opportunities to decrease the cost and increase the probability of success for new drug approval and commercialization.
We have an opening for a highly motivated Research Scientist to work on research and development of mechanistic models for small and large molecules implemented within various Simcyp products using mathematical models and robust statistical data analysis techniques. The Scientist should have some familiarity with physiologically based pharmacokinetic modelling and in vitro-in vivo extrapolation approaches.
Suitable candidates will have experience in applied mathematics, biostatistics and data analysis. Experience in the development of Bayesian inference methods and multilevel statistical models would be particularly appreciated. The successful candidate is expected to keep abreast of the latest scientific developments, disseminate research results, and actively engage with peers and clients within industry, academia and regulatory agencies. Experience working in drug discovery and development within the pharmaceutical industry is desirable.
The successful candidate will join an internationally recognised, multidisciplinary research team, providing opportunities for further development of knowledge and skills. The candidate will undertake novel research projects to expand further the capabilities of the Simcyp Simulators, which require a high level of attention to detail, good oral and written communication skills, and the ability to liaise effectively with the software developers. Further, the candidate is expected to provide on-going customer support and education related to the use of the Simulators and to act as tutor on the Company’s well-known educational workshops. The post does not include routine laboratory or clinical work.

Responsibilities

Active involvement in research and development of PBPK/PD models implemented within the Simcyp Simulators including collating, reviewing and analysing healthy and disease populations as well as compound and clinical data.
Preparing implementation documents and developing case studies under guidance or independently leading wish-list and/or strategic projects as needed.
Contributing to consultancy projects when required.
Applying your experience/expertise in assisting with development and enhancement of module for modelling and simulation of various organs and tissues.
Flexibility to learn and work on projects in areas outside of your previous experience e.g., absorption modules when required.
Training up to act as a tutor for Simcyp workshops when and if needed.
Take on a substantial role in testing the Simulators before and after the release.
Disseminating the outcome of research as poster/podium presentations and scientific publications.
Communicating with clients and dealing with clients’ queries.
Taking part in clients’ site visits and on-site education.
Assisting with the research and development of externally funded projects e.g., grants.
Maintaining an active interest and awareness of new research and technologies relevant to the field, expanding your field expertise, and disseminating these within the team

Qualifications

Master's or higher degree in Applied Mathematics, Statistics or related fields with several years of relevant practical experience.
In-depth understanding and hands-on experience in modelling and simulation principles, statistical data analysis, parameter fitting and sensitivity analysis.
Good working knowledge of common or specialised modelling and simulation tools, such as Matlab, R, Phoenix, Simcyp, etc.
Familiarity with AI tools and their applications.
Excellent record of communication skills, as evident by presentation at scientific meetings, and good interpersonal and organizational skills.
Desirable
Good understanding of modelling and simulation principles of physiological and biological systems and parameter estimation techniques.
Experience in the development of Bayesian inference methods and multilevel statistical models
Proven track record of publications in high impact factor journals.
Certara bases all employment-related decision on merit, taking into consideration qualifications, skills, achievement, and performance. We treat all applicants and employees without regard to personal characteristics such as race, color, ethnicity, religion, sex, sexual orientation, age, nationality, marital status, pregnancy, physical or mental condition, genetic information, military service, or other characteristic protected by law.