Manager / Associate Director, MIDD AI/ML Scientist

Site Name:
UK - Hertfordshire - Stevenage, GSK HQ, USA - Massachusetts - Waltham, USA - North Carolina - Durham, USA - Pennsylvania - Upper Providence

Posted Date:
Dec 4 2025

Clinical Pharmacology Quantitative Medicine (CPQM) is accountable for both applying clinical pharmacology strategies and the principles of quantitative medicine to enable efficient, end-to-end development of transformative medicines.

A key component of the CPQM mission is to harness the power of AI/ML & mechanistic modelling, to drive robust Development Strategies including Dose, Endpoint & Population Selection; Smart Clinical Trials and deliver Model Informed Drug Development (MIDD) evidence.

Hybrid AIML-Pharmacometrics/QSP methodologies are a set of emerging approaches that combine the power and flexibility of AI/ML with the credibility of mechanistic modelling. This fusion has the potential to greatly enhance the predictive capabilities of CPQM by enabling the integration of novel data types (e.g. imaging, biomarkers, OMICs, digital endpoints, and real-world data) to drive more predictive and impactful insights for decision-making.

The Manager / Associate Director, MIDD AI/ML Scientist will focus on the practical application of emerging AI/ML and hybrid AI/ML-Pharmacometrics methodologies to projects on an asset and disease level supporting a wide range of clinical development decisions across therapeutic areas. The role will consist of collaborating with Clinical Pharmacology leads and cross-functional teams to integrate diverse sets of biomedical data (e.g. clinical, imaging, biomarkers, OMICs, digital health, or real-world data) into hybrid AI/ML-Pharmacometrics approaches. It will consist of analysis planning, execution, interpretation and communication of results.

This position is an excellent entry point for quantitative scientists with a background in AI/ML (e.g. PhDs in AI/ML or related fields) looking to develop expertise at the AI/ML-pharmacometrics interface and apply those techniques to benefit patients at the frontier of medicine.

We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme.

We embrace modern work practises; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in-office work.

Discover more about our company wide benefits and life at GSK on our webpage
Life at GSK | GSK
In this role you will:

• Execute portfolio projects: Apply AI/ML and hybrid AI/ML-pharmacometrics approaches to deliver analyses that inform drug development decisions (dose, regimen, endpoint, population, trial design).
• Work cross-functionally: Collaborate with CPMS leads, QSP modellers, statisticians, and digital/imaging experts to integrate AI/ML analyses with existing modelling frameworks. This will cover developing analysis plans, conducting analyses and communicating interim/final results.
• Drive stakeholder engagement: Proactively interact with stakeholders, line and middle management, staff and external contacts on a functional and tactical level.
• Contribute to our capabilities: Engage with academic groups and external vendors, supporting joint projects and learning cutting-edge methods. Identify best practices, trends, learnings, etc from internal and external sources
• Drive awareness: Contribute to training, seminars, and internal communications to increase literacy in AI/ML-pharmacometrics.
• Have external influence: Conference presentations, posters, and publications in scientific journals to represent GSK's impact in AI/ML for drug development.

Why you?
Basic Qualifications & Skills:
We are looking for a professional with these required skills to achieve our goals:

• PhD (or equivalent) in AI/ML or related quantitative fields.
• Strong foundation in AI/ML, statistics or pharmacometrics / quantitative clinical pharmacology.
• Experience coding AI/ML pipelines in Python/Pytorch or Julia/Pumas.
• Strong interest in developing hybrid AI/ML-pharmacometrics expertise.
• Excellent collaboration and communication skills (written, verbal and presentation), with the ability to work in interdisciplinary teams.

Preferred Qualifications & Skills:
If you have the following characteristics, it would be a plus:

• Pharmacometrics experience.
• Experience with AIML approaches to longitudinal data and use of LLMs of agentic AI.
• Experience in developing hybrid AI/ML-pharmacometrics processes.

Join us in this impactful role where your expertise will help ensure patients receive the medicines they need, when they need them.

Closing Date for Applications: 18th December 2025
Please take a copy of the Job Description, as this will not be available post closure of the advert.

When applying for this role, please use the 'cover letter' of the online application and your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application.

At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people's lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients' needs and have the highest probability of success. We're uniting science, technology, and talent to get ahead of disease together.

Find out more:

Our approach to R&D

• 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 $145,200 to $242,000. The US salary ranges take into