Director, MIDD AI/ML Scientist

This review provides a professional overview of the Director, MIDD AI/ML Scientist position, focusing on the advantages and key considerations for potential candidates to help guide their career path.

Opportunity Overview: Driving Transformative Medicines with AI/ML

The Director, MIDD AI/ML Scientist role represents a pivotal opportunity for experienced quantitative scientists at the forefront of drug development. This position is accountable for leveraging cutting-edge AI/ML and mechanistic modeling principles to enhance the efficiency and effectiveness of clinical pharmacology strategies within the Respiratory, Immunology & Inflammation Research Unit (RIIRU). The core mission revolves around utilizing AI/ML and hybrid modeling approaches to inform critical development decisions, including dose selection, endpoint definition, population identification, and the design of smart clinical trials.

Key Advantages for Candidates:

• Pioneering Work in Hybrid AI/ML: This role offers the chance to be an early adopter and innovator in the fusion of AI/ML with traditional pharmacometrics and Quantitative Systems Pharmacology (QSP). This hybrid approach allows for the integration of diverse, novel data types such as imaging, OMICs, digital endpoints, and real-world data, leading to more predictive and impactful insights.
• Direct Impact on Patient Health: As an "excellent entry point for experienced quantitative scientists," this position directly contributes to the development of transformative medicines. Your work will have a tangible impact on patient outcomes by enabling more informed and efficient clinical development pathways.
• Cross-Functional Collaboration: You will collaborate extensively with Clinical Pharmacology leads, QSP modelers, statisticians, and digital/imaging experts. This fosters a rich learning environment and develops your ability to integrate complex datasets and modeling approaches.
• Professional Growth and Development: The role emphasizes continuous learning and external influence. You'll have opportunities to engage with academic groups, external vendors, present at conferences, and publish in scientific journals, solidifying your expertise and raising your professional profile.
• Supportive and Inclusive Culture: GSK is committed to creating an environment where people can grow, be their best, and feel welcome, valued, and included. The company champions a culture of being ambitious for patients, accountable for impact, and doing the right thing.
• Competitive Compensation and Benefits: Beyond a competitive salary and annual bonus, GSK offers a comprehensive benefits package including healthcare, wellbeing programs, a pension plan, and shares and savings programs.
• Agile Working Environment: The "Performance with Choice" program supports a hybrid working model, empowering you to achieve an optimal work-life balance.

Key Considerations for Candidates:

• Advanced AI/ML and Modeling Expertise: A strong foundation and practical experience in building and applying AI/ML models, coupled with a solid understanding of statistics and/or pharmacometrics/quantitative clinical pharmacology, are essential.
• Drug Development Acumen: Significant industry drug development experience, particularly working within cross-functional teams, is highly valued. This demonstrates an understanding of the clinical development lifecycle and decision-making processes.
• Technical Proficiency: Demonstrated coding experience in Python/Pytorch or Julia/Pumas for AI/ML pipelines is a key requirement. Familiarity with applying AI/ML to longitudinal data or Scientific Machine Learning (SciML) would be advantageous.
• Communication and Stakeholder Management: Excellent collaboration and communication skills (written, verbal, and presentation) are crucial for effectively engaging with diverse stakeholders, including senior management and external contacts, and for disseminating complex findings.
• Proactive and Strategic Thinking: The role requires proactively identifying high-impact opportunities for hybrid AI/ML modeling and developing robust analysis plans.
• Commitment to Learning and Sharing: A genuine interest in promoting hybrid AI/ML-pharmacometrics expertise and a willingness to disseminate best practices and learnings are important for contributing to the team's capabilities.

In summary, the Director, MIDD AI/ML Scientist position is an exceptional opportunity for highly skilled and motivated quantitative scientists seeking to make a significant impact on the future of medicine. It offers a dynamic blend of cutting-edge scientific application, collaborative engagement, and professional growth within a supportive and forward-thinking organization.