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Scientific Fellow, AI-Enabled Target Identification & Credentialing - all genders

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Frankfurt am Main
Vollzeit

Veröffentlicht am 02.06.2026

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Scientific Fellow, AI-Enabled Target Identification & Credentialing - all genders

Illustration: Drei Personen, die von zwei offenen Händen umgeben sind.
Diversity-Statement
Überblick
Sanofi sucht eine Person für die Rolle als Wissenschaftliche:r Mitarbeiter:in. Du arbeitest in der Forschung und Entwicklung. Du brauchst Erfahrung in KI, computergestützter Wissenschaft und Zielentdeckung. Wichtig sind Führungsstärke und Einfluss in der wissenschaftlichen Gemeinschaft. Du brauchst einen Doktortitel und mindestens 7 Jahre Erfahrung.
Erstellt mit künstlicher Intelligenz

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.

About the Job

Join the engine of Sanofi's mission - where deep immunoscience meets bold, AI-powered research. In R&D, you'll drive breakthroughs that could turn the impossible into possible for millions.

Main Responsibilities:

  • The Scientific Fellow, AI-Enabled Target Identification & Credentialing, is a senior individual contributor and scientific thought leader at the intersection of AI, computational science, and target discovery. This role will shape scientific strategy, evaluate internal and external capabilities, and apply deep scientific judgement to advance the identification, prioritization, and credentialing of therapeutic targets across R&D.
  • The individual will provide expert leadership on how advanced digital, computational, and AI approaches can accelerate target discovery, improve target confidence, and increase probability of success. Working across research programs and R&D-wide initiatives, this person will advise senior leaders and corporate management on emerging scientific and technological advances, strategic opportunities, and differentiated approaches in AI-enabled target identification and validation.
  • A core expectation of the role is to help define scientific strategies and practical tactics that support company ambitions in AI-enabled target identification and credentialing. This includes assessing emerging methods, platforms, partnerships, and external innovations for scientific quality, strategic relevance, and potential impact across areas such as human genetics, multimodal data integration, causal biology, disease mechanisms, target prioritization, target validation, and evidence generation to support target confidence. The Scientific Fellow will also serve as a highly sought-after internal expert consultant, contributing deep scientific judgement, thought partnership, and mentoring across R&D where relevant to their area of expertise.
  • This role requires a recognized leader with strong external visibility and influence. The Scientific Fellow must establish and maintain a national and international reputation as a thought leader through high-impact publications, patents, productive scientific collaborations, invited speaking engagements, conference participation, and other visible contributions to the scientific community. They must be recognized externally as an expert in the field and bring strong connections to leading academic, biotech, technology, and pharmaceutical groups working at the forefront of AI, computational biology, and target discovery.
  • The successful candidate will have a proven record of envisioning and delivering innovative scientific or technological solutions with a high degree of creativity, and of meaningfully influencing the direction and productivity of their field within R&D. They must be capable of operating as a highly independent senior scientific leader without direct line management responsibility, while exerting broad influence across a matrixed organization.

About You

Qualifications:

  • Ph.D. in computational biology, systems biology, bioinformatics, genetics, machine learning, biomedical data science, pharmacology, or a related scientific discipline, with a minimum of 7 years of experience in academia, biotech, technology, or pharma.
  • Candidates must have a strong track record in AI, computational tools, and target identification and credentialing, along with demonstrated success advising senior leaders, evaluating emerging scientific capabilities, and translating technical advances into strategic R&D impact.

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.
  • Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
  • Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks' gender-neutral parental leave.

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.
The salary range for this position is :€129,040.00 - €172,053
Die endgültige Vergütung wird auf Grundlage nachgewiesener Erfahrung, Fähigkeiten, Standort und weiterer relevanter Faktoren bestimmt. Mitarbeitende können berechtigt sein, an den Mitarbeitenden Leistungsprogrammen des Unternehmens teilzunehmen.

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