At a Glance
- Tasks: Lead innovative oncology projects using AI/ML and modelling to improve patient outcomes.
- Company: Join a leading pharmaceutical company dedicated to transforming cancer treatment.
- Benefits: Competitive salary, bonuses, health insurance, retirement plans, and generous leave policies.
- Other info: Collaborative environment with opportunities for professional growth and innovation.
- Why this job: Make a real impact in oncology while working with cutting-edge technology and talented teams.
- Qualifications: PhD in Quantitative Clinical Pharmacology or related field; 5+ years of relevant experience required.
This position requires an on-site office presence for 2–3 days per week. We need a highly motivated and experienced Director to join our Oncology Clinical Pharmacology Modelling and Simulation (CPMS) department within Oncology Translational Medicine. The role focuses on delivering CPMS quantitative excellence to development programs, helping to inform and accelerate the development of innovative oncology therapies to reach the right patients at the right dose and at the right time.
Responsibilities
- Defining and executing model‑based development strategies for oncology projects
- Planning, conducting and reporting exposure‑response analysis, simulation‑based trial design, dose selection, and population PK modelling
- Applying innovative methods such as drug‑disease modelling, longitudinal exposure‑response analysis, model‑based meta‑analysis, quantitative systems pharmacology and AI/ML‑informed analyses to enhance data use and trial efficiency
- Presenting strategy and defending outcome of model‑based approaches to internal governance boards and regulatory agencies
- Contributing to clinical program design, trial protocols, analysis plans, study reports and regulatory submissions
- Write or review clinical pharmacology components of regulatory documents and responses to facilitate rapid and efficient product approval with optimum labelling (regarding the clinical pharmacology, modelling and simulation content)
- Implement best practices, trends and lessons learned from internal and external sources to further CPMS contributions to the R&D pipeline
- Interact with line and middle management, staff and external contacts on a functional, strategic and tactical level
- Promote model‑informed drug discovery and development through external collaboration, journal publication and conference presentation
- Work across matrix teams to innovate in methodologies, design efficiencies and create value
Basic Qualifications
- A PhD in Quantitative Clinical Pharmacology, Pharmacometrics or a related Life Sciences discipline, with experience in using modelling/simulation to solve practical problems in industry or academia. A PharmD or Master’s degree with an additional 4 years of relevant experience may be considered.
- 5+ years of experience in mechanistic PK/PD and longitudinal disease modelling; and verifiable proficiency in pharmacometric tools such as NONMEM or R.
- 3+ years of experience planning, performing, and reporting analysis of clinical data per industry and regulatory standards.
- Expertise in applications of AI/ML in Clinical Pharmacology and Pharmacometric analyses with innovative methodologies and efficiency applications.
Preferred Qualifications
- Strong drive and learning agility to build knowledge on a drug‑disease system, symptom progression, standard of care, and trial design.
- Knowledge of or ability to quickly learn the mechanism, endpoints, progression and treatments of cancers.
- Ability to keep up‑to‑date with and propose the implementation of new modelling approaches to inform drug development.
- Demonstrated aptitude for productive collaboration in a multi‑discipline team, using effective communication and taking personal accountability for timely delivery of results.
- Clear evidence of ability to make sound judgement in complex situations and adapt to changing business needs by prioritizing multiple tasks.
- Experience in the design, analysis, interpretation and reporting of Clinical Pharmacology studies per industry and regulatory standards.
- Passion for quantitative clinical pharmacology and desire to innovate for better outcome.
- Prior experience in Oncology Research and Development is a plus.
- Experience working with senior stakeholders in a cross‑functional environment.
- Excellent interpersonal skills with strong oral/written communication and presentation skills.
- Strong track record of implementation of Model‑Informed Drug Development approaches to accelerate patient access to novel therapies and expand therapeutic indications of marketed drugs.
Benefits
If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $188,100 to $313,500. The US salary ranges take into account factors such as work location, the candidate’s skills, experience, education level, and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share‑based long‑term incentive program, which is dependent on the level of the role. Benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave.
Equal Employment Opportunity
GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service, or any basis prohibited under federal, state or local law.
Accommodation
If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at.
Director, Oncology Clinical Pharmacology MIDD AI/ML in London employer: WISE Campaign
Contact Detail:
WISE Campaign Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director, Oncology Clinical Pharmacology MIDD AI/ML in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the oncology field and let them know you're on the hunt for a Director role. Attend industry events or webinars to meet new people and get your name out there.
✨Tip Number 2
Show off your expertise! Prepare a presentation or a case study that highlights your experience with model-based development strategies and AI/ML applications in clinical pharmacology. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors who understand the oncology landscape. Get feedback on your answers, especially around complex topics like dose selection and population PK modelling.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team and contributing to innovative oncology therapies.
We think you need these skills to ace Director, Oncology Clinical Pharmacology MIDD AI/ML in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in oncology clinical pharmacology. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant achievements!
Showcase Your Expertise: When detailing your experience, focus on your proficiency with pharmacometric tools and AI/ML applications. We’re looking for someone who can bring innovative methodologies to the table, so let us know how you’ve done this in the past.
Be Clear and Concise: Keep your written application straightforward and to the point. Use clear language to describe your accomplishments and avoid jargon unless it’s necessary. We appreciate a well-structured application that’s easy to read!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at WISE Campaign
✨Know Your Stuff
Make sure you brush up on your knowledge of quantitative clinical pharmacology and the latest in AI/ML applications. Be ready to discuss how you've used modelling and simulation in past projects, especially in oncology. This will show that you're not just familiar with the theory but can apply it practically.
✨Prepare for Technical Questions
Expect to face some tough technical questions related to PK/PD modelling and exposure-response analysis. Review your experience with tools like NONMEM or R, and be prepared to explain your thought process in designing trials or analysing data. Practising these scenarios can help you articulate your expertise clearly.
✨Show Your Collaborative Spirit
This role involves working across various teams, so highlight your experience in collaborative environments. Share examples of how you've successfully worked with cross-functional teams to innovate methodologies or solve complex problems. This will demonstrate your ability to communicate effectively and contribute positively to team dynamics.
✨Be Ready to Discuss Future Trends
Stay updated on the latest trends in oncology research and drug development. Be prepared to discuss how you would implement new modelling approaches and what innovative strategies you think could enhance trial efficiency. Showing that you're forward-thinking will impress the interviewers and align with their goals for the role.