Director, MIDD AI​/ML Scientist

Overview

Director, MIDD AI/ML Scientist role within Clinical Pharmacology Quantitative Medicine (CPQM) aligned to RIIRU (Respiratory, Immunology & Inflammation Research Unit). CPQM applies clinical pharmacology strategies and quantitative medicine across RIIRU to enable end-to-end development of transformative medicines. The goal is to harness AI/ML and mechanistic modelling to drive Development Strategies including Dose, Endpoint & Population Selection;
Smart Clinical Trials and Model Informed Drug Development (MIDD) evidence. Hybrid AIML-Pharmacometrics/QSP methodologies combine AI/ML with mechanistic modelling to integrate diverse data types (e.g., imaging, biomarkers, OMICs, digital endpoints, and real-world data) for predictive insights in decision-making.

Job Purpose

The Director, MIDD AI/ML Scientist focuses on practical application of emerging AI/ML and hybrid AI/ML-Pharmacometrics methodologies to projects at asset and disease levels, supporting a wide range of clinical development decisions across RIIRU. The role collaborates with Clinical Pharmacology leads and cross-functional teams to integrate diverse data (clinical, imaging, biomarkers, OMICs, digital health, real-world data) into hybrid AI/ML-Pharmacometrics approaches. It includes stakeholder engagement, identifying opportunities, analysis planning, execution, interpretation and communication of results and impact.

This position is an excellent entry point for experienced quantitative scientists with a background in AI/ML (e.g., PhDs) in AI/ML or related fields, drug development and Pharmacometrics/QSP looking to apply those techniques to benefit patients.

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 practices; 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.

• Manage stakeholder engagement: Proactively interact with stakeholders, line and middle management, staff and external contacts on a functional and tactical level. Identify high impact opportunities for hybrid AI/ML-pharmacometrics approaches on projects.
• 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. Develop analysis plans, conduct analyses and communicate interim/final results.
• Contribute to our capabilities: Engage with academic groups and external vendors supporting joint internal-external projects. Identify best practices, trends, learnings from internal and external sources and disseminate.
• Drive awareness: Deliver training, seminars, and internal communications to increase literacy in AI/ML-pharmacometrics across CPQM and RIIRU.
• Have external influence: Conference presentations, posters, and publications in scientific journals to represent GSK's impact in AI/ML for drug development.

Basic Qualifications & Skills:

• PhD (or equivalent) in AI/ML or related quantitative fields or in Life Sciences.
• Strong foundation and experience in building and applying AI/ML models.
• Strong foundation and experience in statistics and/or pharmacometrics / quantitative clinical pharmacology.
• Strong industry drug development experience, working within teams.
• Experience coding AI/ML pipelines in Python/Pytorch or Julia/Pumas.
• Strong interest and experience in promoting hybrid AI/ML-pharmacometrics expertise. Developing people and processes.
• Excellent collaboration and communication skills (written, verbal and presentation), with experience working in interdisciplinary teams.

Preferred Qualifications & Skills:

If you have the following characteristics, it would be a plus:

• Direct pharmacometric project experience.
• Direct experience applying AIML approaches for longitudinal data and/or SciML approaches.
• Familiarity with the application of agentic AI to enhance novel process integration.

* LI-GSK#

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 a number of factors including work location within the US market, 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.

Available benefits include…