At a Glance
- Tasks: Lead innovative modelling projects to advance drug development in Respiratory & Immunology.
- Company: Join GSK, a global biopharma leader dedicated to improving health worldwide.
- Benefits: Enjoy a supportive environment, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with diverse teams and contribute to groundbreaking therapies.
- Why this job: Make a real impact on patient health through cutting-edge quantitative systems pharmacology.
- Qualifications: PhD, MD, or PharmD with experience in clinical pharmacology and mathematical modelling.
The predicted salary is between 80000 - 100000 £ per year.
This position represents an excellent opportunity for professionals with a PhD, MD, PharmD or equivalent doctoral background, who are experienced mathematical modellers, where one will use Quantitative Systems Pharmacology, mathematical modelling, and computational skills together with Pharmacometrics to advance the vision and mission of GSK’s rapidly expanding Respiratory & Immunology portfolio. Sought after experiences for this position include building and integrating mechanistic mathematical models and disease platforms with advanced analytical techniques (such as machine learning) to enhance the robustness and quality of decision-making from exploratory research, clinical development, registration, and life cycle management.
At GSK we develop therapies of various modalities for a broad range of indications. CPMS responsibilities and accountabilities commence at candidate selection stage with preparations of first time in human trials, and continue through to filing, registration, and market expansion. As a member of a global department with diverse expertise, you will enjoy a highly supportive environment for scientific innovation, business impact and professional growth. CPMS work directly supports GSK mission to help our patients feel better and live longer by getting ahead of disease together.
Key Responsibilities include, but are not limited to:
- Build, develop, guide development and/or utilize mechanistic models of biological, physiological, and pathophysiological processes to evaluate a disease, its pathways and progression, as well as drug candidates or treatment modalities; conduct simulations to generate virtual patients to optimize trial design; conduct meta-analyses as appropriate to generate knowledge through data re-use.
- Develop and/or utilize state-of-the-art mathematical tools to gain insight into causal relationships between individual components of system-level and drug-level responses of drug-target-biomarker-disease-patient interaction.
- Contribute to clinical program design and dosing regimen selection, trial protocols, analysis plans, study reports and regulatory submissions as appropriate.
- Work in close collaboration with biologists, clinicians, clinical pharmacologists, pharmacometricians, statisticians and other partner line colleagues to inform research and development programs and improve our understanding of disease mechanisms.
- Learn and apply emerging modelling and simulation methodologies with a view to enhance clinical program efficiency and investment decision quality; implement best practices, trends, lessons learned from internal and external sources to further clinical pharmacology modelling and simulation contributions to R&D pipeline.
- Present strategy and defend outcome of model-based approaches to internal governance boards and regulatory agencies.
- Promote Model-Informed Drug Discovery and Development (MID3) through external presentations at international conferences and publications in peer-reviewed scientific journals.
Qualifications:
We are looking for professionals with these required skills to achieve our goals:
- PhD, MD, or PharmD with experience in clinical pharmacology, modelling and simulation in pharmaceutical research and development.
- Substantial experience in utilizing mechanistic mathematical modelling and simulation (QSP, PKPD, etc.) to apply to questions in drug discovery and development to solve practical problems in industry and/or academia.
- Clear evidence of ability to make sound judgement in complex situations and adapt to changing business needs by prioritizing multiple tasks.
- Knowledge of or ability to quickly learn the mechanism, endpoints, progression, prevention, and treatments of Infectious, Immunological or Inflammatory Diseases.
- Experience working with key stakeholders in a cross functional environment.
- Demonstrated aptitude for productive collaboration in a multi-discipline team, using effective communication and taking personal accountability for timely delivery of results.
- Strong track record of implementation of MIDD approaches to accelerate patient access to novel therapies.
- Strong publication record in peer-reviewed journals.
Preferred Skills & Qualifications:
If you have the following characteristics, it would be a plus:
- A doctorate that is relevant to Quantitative Systems Pharmacology (e.g., Mathematics, Engineering, Physics, Systems Biology, Mathematical Modelling, etc.).
- Passion for Quantitative Clinical Pharmacology and desire to innovate for better outcome.
- Prior experience in clinical QSP modelling in Respiratory & Immunology in an industry setting.
- Strong drive and learning agility to build knowledge on a drug-disease system, symptom progression, standard of care, and trial design.
GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organization where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030.
Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy.
We’re committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce. As an Equal Opportunity Employer, we are open to all talent.
Associate Director/Director, Quantitative Systems Pharmacology in Stevenage employer: GlaxoSmithKline
GSK is an exceptional employer that fosters a culture of innovation and collaboration, providing employees with the opportunity to contribute to groundbreaking research in Quantitative Systems Pharmacology. With a commitment to professional growth and a supportive environment, GSK empowers its team members to thrive while making a meaningful impact on global health. Located in a vibrant setting, employees benefit from flexible working arrangements and a diverse workplace that values inclusion and belonging.
StudySmarter Expert Advice🤫
We think this is how you could land Associate Director/Director, Quantitative Systems Pharmacology in Stevenage
✨Tip Number 1
Network like a pro! Reach out to professionals in the Quantitative Systems Pharmacology field on LinkedIn or at conferences. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for interviews by brushing up on your modelling and simulation skills. Be ready to discuss how you've applied these in real-world scenarios, especially in drug discovery and development.
✨Tip Number 3
Showcase your passion for innovation! When you get the chance, share your ideas on how to improve clinical program efficiency or enhance decision-making processes using your expertise.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Associate Director/Director, Quantitative Systems Pharmacology in Stevenage
Some tips for your application 🫡
Tailor Your Cover Letter:Make sure to customise your cover letter for this role. Highlight your experience in quantitative systems pharmacology and how it aligns with GSK's mission. We want to see your passion shine through!
Showcase Your Skills:In your CV, clearly outline your mathematical modelling and computational skills. Use specific examples from your past work that demonstrate your ability to solve complex problems in drug discovery and development.
Be Clear and Concise:Keep your application straightforward and to the point. Avoid jargon unless it's relevant to the role. We appreciate clarity, so make it easy for us to see why you're a great fit!
Apply Through Our Website:Don’t forget to apply through our official website! This ensures your application is processed correctly and gives you the best chance to join our team at GSK.
How to prepare for a job interview at GlaxoSmithKline
✨Know Your Models Inside Out
Make sure you have a solid grasp of the mechanistic mathematical models relevant to Quantitative Systems Pharmacology. Be prepared to discuss how you've applied these models in past projects, and think about specific examples where your modelling skills made a significant impact.
✨Showcase Your Collaborative Spirit
This role involves working closely with various stakeholders, so highlight your experience in cross-functional teams. Share stories that demonstrate your ability to communicate effectively and collaborate with biologists, clinicians, and other experts to drive research forward.
✨Stay Current with Trends
Familiarise yourself with the latest advancements in machine learning and modelling methodologies. Be ready to discuss how you can apply these trends to enhance clinical program efficiency and decision-making in drug development.
✨Prepare for Technical Questions
Expect technical questions related to pharmacometrics and simulation techniques. Brush up on your knowledge of causal relationships in drug-target interactions and be ready to explain complex concepts in a clear and concise manner.