Quantitative Systems Toxicologist, Open to flexible working

Stevenage, Hertfordshire
17 Mar 2021
11 Apr 2021
Contract Type

We are looking for a Quantitative Systems Toxicologist to join our Non-Clinical Safety Department at one of GSK's flagship R&D Sites. The successful applicant can be based at our Stevenage R&D site (in the UK) or our Upper Providence site (in the USA).

The Non-Clinical Safety department is accountable for driving human-relevant hazard detection, risk characterisation and quantitative safety translation to advance the next generation of medicines to patients. The department generates a wealth of in vitro and in vivo nonclinical toxicology and pharmacology data, which is used to predict the likelihood of adverse drug events.

The Quantitative Systems Toxicology function is on a journey to transform GSK's approach towards predicting adverse drug reactions. We are looking for an individual who has the personal motivation and vision to help design, build and realise GSK's future strategy in this area. The role is high-profile and high potential.

We are interested to hear from any applicants who have knowledge / experience in applying mechanism-based mathematical modeling techniques in life sciences.


The Quantitative Systems Toxicologist develops and applies theoretical mathematical models to predict adverse drug reactions. You will work in a highly dynamic, multidisciplinary environment where you will integrate and interpret in vitro and in vivo non-clinical data (from multiple sources) to implement Quantitative Systems Toxicology (QST) modelling approaches. These models will be used to provide expert-insight into clinical risk at the patient population level.


  • Implementation of Quantitative Systems Toxicology approaches via the utilisation of computational methods to aid investigation of drug safety issues to enhance mechanistic understanding and provide translational risk assessment.
  • Provide modelling support (related to toxicology/pharmacology) within Non-Clinical Safety to improve project decision-making.
  • Provide consultancy and training for quantitative systems toxicology approaches across Non-Clinical Safety and R&D.
  • Provide direction on generating non-clinical experimental input data, embedding established modelling approaches and contextualisation of modelling output (in conjunction with conventional Non-Clinical toxicology endpoints).
  • Work with internal and external partners to guide development and deployment of new QST approaches (improving prediction and translation of drug safety risks).

About You:

We are looking for an individual with knowledge / experience of using quantitative mathematical modelling approaches linking mechanistic drug disposition and toxicology/pharmacology endpoints to support the progression of drug discovery and development programs.

Basic Qualifications/Experience:

  • Relevant education (e.g. degree in mathematics, physics, engineering, statistics or computational sciences)
  • Experience in applying mechanism based mathematical modeling techniques in life sciences
  • Ability to work collaboratively in multidisciplinary environment with good communication skills

Preferred Qualifications/Experience

  • Advanced degree in chemical, mechanical or biomedical engineering, physics, applied mathematics, scientific computing or related field.
  • Experience in building, validating and using complex, system level models of to further understand biological systems
  • Core competency in numerical analysis focusing on differential equations and parameter optimization.
  • Expertise in scientific computing and programming - such as R, Python, Matlab/Simbiology

Company Details:

At GSK, we're a company with a special purpose, to help people do more feel better and live longer. Realising our purpose starts with us. When we feel at our best, we perform at our best.

When you set out on your adventure at GSK, we make a deal. You commit to living GSK's values and expectations and performing against our Innovation, Performance and Trust priorities. And in return, GSK commits to providing the right environment for you to thrive. Put simply, it's about you being motivated to do your best work, in a place where you can be you, feel good and keep growing.

Together we build an environment where we can all thrive and focus on what matters most to each of us. It is only through the energy, dedication, drive and passion of all of us that we can be the very best for GSK, and importantly, for our patients and consumers.

As a company driven by our values of Patient focus, Transparency, Respect and Integrity, we know inclusion and diversity are essential for us to be able to succeed. We want all our colleagues to thrive at GSK bringing their unique experiences, ensuring they feel good and to keep growing their careers. As a candidate for a role, we want you to feel the same way.

As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class*(*US only).

We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.

As you apply, we will ask you to share some personal information which is entirely voluntary. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it. Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially.

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