AI Technology Intern supporting strategic initiatives and AI - enabled projects in a corporate environment. Gaining hands - on experience while working closely with cross - functional teams to drive business outcomes.
About the role
- Director of MIDD AI/ML Scientist focusing on AI/ML methodologies for clinical development at GSK. Engage interdisciplinary teams for impactful drug development decisions using advanced analytics.
Responsibilities
- Manage stakeholder engagement: Proactively interact with stakeholders, line and middle management, staff and external contacts on a functional and tactical level.
- Tactically 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.
- Contribute to our capabilities: Engage with academic groups and external vendors supporting joint internal-external projects and remaining abreast of cutting-edge methods.
- Identify best practices, trends, learnings, etc 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.
Requirements
- 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
Benefits
- competitive salary
- annual bonus based on company performance
- healthcare and wellbeing programmes
- pension plan membership
- shares and savings programme
- flexible working arrangements
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
AI Engineer II at Honeywell responsible for developing and implementing AI algorithms and systems. Collaborating with teams in a hybrid work setting to solve complex business challenges.
CO
Applied Researcher I at Capital One focusing on AI in banking. Collaborating with cross - functional teams to develop AI - powered products with a focus on customer interactions.
Senior AI Technologist identifying opportunities to integrate AI into processes while collaborating with stakeholders. Designing data structures and improving data quality for AI initiatives.
AI Partner Technical Engineer guiding partners in Dell’s AI Technical Partner Program. Ensuring seamless technical journeys and optimizing AI solutions compliance with Dell’s criteria.
Associate Director leading medical engagement transformation for Johnson & Johnson Oncology portfolio. Designing and delivering analytics solutions for enhanced customer engagement in healthcare.
AI Change Enablement Consultant enabling clients through design - led thinking and practical enablement. Role involves collaboration with architects and stakeholders to drive measurable outcomes.
Incident & Problem Manager responsible for critical incident resolution and AI evolution in incident management at Omnissa. Leading operational excellence in a global IT operations organization.
Intern in AI Innovation at Founders Bay Accelerator, supporting startups with AI applications and workflows. Collaborate closely with founding team and engage in hands - on AI projects.
Design and deploy intelligent automation and agentic AI solutions for clients in India. Collaborate on AI strategies and evangelize best practices in the fusion of AI and business.