Data Science Consultant - Life Sciences

Responsibilities

• Design and implement AI-driven solutions across life sciences use cases such as drug discovery, clinical trial optimization and pharmacovigilance
• Advise executive stakeholders on AI strategy and translate technical concepts into actionable business outcomes
• Define and deliver enterprise-wide AI and machine learning adoption roadmaps aligned to business objectives
• Create governance frameworks to ensure AI solutions meet regulatory and ethical requirements (e.g., GDPR, FDA, EMA)
• Prototype Generative AI and LLM-based applications to support literature mining, safety monitoring and patient programs
• Collaborate with data engineers, clinicians and business teams to tailor solutions to client needs
• Deploy AI and machine learning models in production environments using established MLOps and LLMOps practices
• Use cloud platforms and data solutions to ensure scalability and operational integrity
• Present data-driven recommendations to senior audiences, demonstrating the impact of AI solutions
• Support pre-sales activities including solutioning, proposals, workshops and industry presentations

Languages