Sanofi: Business Analyst in Clinical Data AI Processing
Overview:
At Sanofi, we chase the miracles of science to improve people’s lives. We are accelerating our modernization journey to support our Pay to Win strategy in ways that allow us to be more focused, integrated, agile, and efficient. The current wave of digital technologies in artificial intelligence (AI) offers enormous opportunities to transform clinical development. To harness the power of these new technologies and accelerate digital transformation, we have created a new Clinical Data & AI Processing & AI Processing department within Clinical Sciences and Operations.
The Business Analyst (BA) in Clinical Data & AI Processing is responsible for translating business insights and needs into a digital transformation strategy that bridges the gap between business objectives and AI technologies. With a sharp focus on developing AI-enabled solutions and processes, the BA works closely with cross-functional teams to drive AI-driven solutions, enhancing operational effectiveness and accelerating clinical development by enabling real-time access and interactive insight generation from clinical data.
Objectives:
- Understand and gather business requirements; collect and analyze data to identify trends, patterns, and insights to define business cases around AI-driven transformation projects.
- Develop working relationships with diverse internal and external stakeholders in a highly matrixed organization.
- Develop and document business process models to illustrate current and future AI-enabled states.
- Work closely with clinical data analysts and AI engineers to design end-to-end real-time data flows and processes, solutions, automations, data models, and integration with existing systems and tools in clinical development.
- Ensure AI solutions and processes comply with GCP, regulatory requirements, ethical and legal standards, including data privacy and fairness principles.
- Measure user satisfaction and the impact of the strategy, and track adoption to ensure smooth implementation of AI-driven solutions.
Ideal Candidate:
- Advanced degree in Computer Science, Engineering, Information Systems, Business, Life Sciences, or a related field.
- Experience within a Life Sciences or Pharmaceutical business is preferred.
- Strong understanding of AI technologies such as machine learning, natural language processing, and large language models.
- Demonstrated experience in implementing AI strategies.
- Demonstrated proficiency in data analysis tools and techniques, preferably applied to clinical trial data.
- Understanding of clinical development, ICH guidelines, and regulations by major regulatory bodies such as the FDA and EMA
- Excellent communication, problem-solving, and cross-functional collaboration skills.
- Experience with business process modeling and project management.