PostDoc Business Analyst, Clinical Data AI Processing (all genders) limited until 30.06.2028 - [...]

Sanofi-Aventis Deutschland GmbH; Frankfurt; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading biopharma company is seeking a Business Analyst in Frankfurt to bridge business needs and digital transformation strategies. The role involves developing AI solutions, conducting comprehensive analyses, and ensuring compliance with regulations in clinical development. Ideal candidates will have advanced degrees and experience in Life Sciences or Pharmaceuticals.

Leistungen

Flexible working time models

Attractive location

Well-thought-out benefits package

Qualifikationen

• Demonstrated experience in implementing AI strategies.
• Experience with business process modeling and project management.
• Experience in a Life Sciences or Pharmaceutical business preferred.

Aufgaben

• Understand and elicit business requirements for AI-driven solutions.
• Develop business process models for AI-enabled states.
• Design end-to-end real-time data flow including AI solutions.
• Support roadmap development and establish KPIs for success.
• Ensure compliance with GCP and regulatory requirements.

Kenntnisse

AI technologies knowledge

Communication skills

Problem-solving skills

Data analysis tools

Ausbildung

Advanced degree in Computer Science or related fields

Jobbeschreibung

About the job

About Sanofi :

We're an R&D-driven, AI-powered biopharma company committed to improving people's lives and delivering compelling growth. Our deep understanding of the immune system - and innovative pipeline - enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people's lives.

Our Team :

At Sanofi, we chase the miracles of science to improve people's lives. We are accelerating our modernization journey to support our Play 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 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 to and interactive insight generation from clinical data .

Main responsibilities

• Understand and elicit business requirements across the E2E patient data flow; conduct comprehensive analysis to identify transformation opportunities and develop business cases for AI-driven solutions, including ROI assessment
• 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 the end-to-end real-time data flow, including AI solutions, automated processes, data models, and integration strategies with existing systems and tools in clinical development
• Support roadmap development and establish KPIs to measure success; track user satisfaction, business impact, and solution adoption to ensure smooth implementation and continuous optimization of AI-driven solutions
• Ensure AI solutions and processes comply with GCP, regulatory requirements, ethical and legal standards, including data privacy and fairness principles

About you

Experience :

• Demonstrated experience in implementing AI strategies.
• Experience with business process modeling and project management.
• Experience within a Life Sciences or Pharmaceutical business is preferred.

Soft and technical skills :

• Strong understanding of AI technologies such as machine learning, natural language processing, and large language models.
• Excellent communication, problem-solving, and cross-functional collaboration skills.
• Demonstrated proficiency in data analysis tools and techniques, preferably applied to clinical trial data.
• Understanding of clinical development

Education :

• Advanced degree in Computer Science, Engineering, Information Systems, Business, Life Sciences

Why choose us?

• Bring the miracles of science to life alongside a supportive, future-focused team.
• Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally.
• Benefit from a well-thought-out benefits package that rewards your contribution and commitment
• Start your career at an attractive location in Frankfurt or Berlin and experience our modern working environment and benefit from flexible working time models.

Pursue Progress. Discover Extraordinary.

Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what's never-been-done-before. You'll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people's lives? Let's Pursue Progress and Discover Extraordinary - together.

At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com !

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#WeAreSanofi

Diversity und Inklusion sind in den Grundwerten von Sanofi verankert und spiegeln sich in unserer Arbeitsweise wider. Wir respektieren die Vielfalt unserer Belegschaft in Hinsicht auf ihre Herkunft, Erfahrungen und Lebensweisen. Wir erkennen die Bereicherung, die diese Vielfalt birgt, und fördern Inklusion sowie eine Arbeitsumgebung, in der diese Unterschiede sich weiter entwickeln können, zur Stärkung des Lebens unserer Mitarbeiter, Patienten und Kunden.