Head of Toxicology Innovations, Germany - all genders

Reposted Yesterday
Be an Early Applicant
Frankfurt am Main, Hessen, DEU
In-Office
114K-152K Annually
Senior level
Healthtech
The Role
Lead and grow a multidisciplinary digital toxicology team in Frankfurt to develop AI/ML and QST models, integrate computational tools across preclinical safety workflows, build AI-ready data foundations, modernize the digital toxicology toolkit, and drive cross-functional adoption and regulatory-aligned in silico approaches.
Summary Generated by Built In

About the job

As Head of the Toxicology Innovation group in Germany, you will shape the future of computational toxicology at Sanofi — leading a multidisciplinary team of scientists to harness the power of AI, machine learning, and quantitative systems toxicology (QST) modeling to accelerate drug development and improve patient safety. Based in Frankfurt, Germany, you will be in Sanofi's Preclinical Safety department, driving digital transformation in close collaboration with in vitro innovation, and building the AI-ready infrastructure that connects toxicology to the broader R&D AI priorities and ecosystem. Ready to get started?

Sanofi's Preclinical Safety department is a global, science-driven organization committed to delivering innovative, data-informed safety assessments that support the development of life-changing medicines. The Global Toxicology Innovation group sits at the intersection of computational science, biology, and drug development — pioneering new approaches to toxicity prediction, mechanistic understanding, and clinical translatability.

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.

Main responsibilities:

  • Lead and develop a high-performing team of heterogeneous computational toxicology scientists, managing both scientific resources and the strategic growth of the team's capabilities and business impact
  • Drive development and application of AI/ML and Quantitative Systems Toxicology (QST) modeling for toxicity issue resolution and clinical translatability, working in close collaboration with in vitro and in vivo teams, project toxicologists, and scientific advisors
  • Integrate digital tools and platforms to improve operational efficiency across Preclinical Safety workflows, enabling faster, smarter, and more reproducible science
  • Build an AI-ready data and digital foundation that connects toxicology data and insights to other disciplines across R&D, enabling cross-functional collaboration and data-driven decision-making
  • Modernize the Digital Toxicology Toolkit to support a productive and competitive Research & Development pipeline, ensuring tools are fit-for-purpose, validated, and aligned with regulatory expectations
  • Champion Digital Toxicology capabilities across all levels of PCS through education, training, and advocacy — fostering a culture of digital fluency and innovation
  • Collaborate closely with the PCS Digital and Business Strategy Scientific Expert at the interface to the Global Computational and AI Strategy,  to align digital toxicology initiatives to Sanofi's enterprise-wide AI and computational science priorities
  • Define roles, upskilling pathways, and individual development plans for the Digital Toxicology team, ensuring scientists are equipped with the skills needed to thrive in an evolving AI-driven landscape

About You

To succeed in this role, you will bring a rare combination of deep scientific expertise, leadership experience, and a passion for digital innovation in drug development:

Scientific expertise: Advanced degree (PhD preferred) in Toxicology, Computational biology/chemistry, Pharmacology, Cheminformatics, or a related discipline, with a strong track record in computational toxicology or quantitative systems toxicology modeling in a pharmaceutical or biotech setting

Technical skills: Hands-on experience with AI/ML model development, mathematical (QST) modeling, and integration of computational tools into drug discovery and development workflows; familiarity with regulatory frameworks for in silico methods (e.g., ICH M7, OECD guidelines)

Leadership & people management: Demonstrated ability to lead, inspire, and develop diverse, multidisciplinary scientific teams; experience defining team strategy, managing resources, and building individual development plans

Cross-functional collaboration: Proven ability to work effectively across in vitro, in vivo, and project teams (discovery/clinical), as well as with digital and data science functions; strong stakeholder management skills

Strategic mindset: Understanding of how preclinical safety data translates to human safety, ability to translate scientific vision into actionable roadmaps, connect digital toxicology to broader R&D strategy

Communication & influence: Strong written and verbal communication skills in English (German is a plus); communicate complex concepts to diverse audiences at all organizational levels, ability to educate, advocate, and build consensus around digital innovation

Languages: Fluency in English required; German is an advantage

Why Choose Us?

Cutting-edge science: Work at the forefront of AI-powered drug development, shaping how toxicology is practiced globally

Global impact: Lead a team with international reach, collaborating across Sanofi's worldwide R&D network

Innovation culture: Be part of Sanofi's bold transformation into an AI-first biopharma company

Collaborative environment: Partner with world-class scientists, digital experts, and business leaders across disciplines

Career growth: Access to Sanofi's global learning ecosystem, leadership development programs, and SkillsPower upskilling platform

Frankfurt hub: Join a vibrant scientific community in one of Europe's leading life sciences locations

#LI-Onsite

#ComputationalToxicology

#QuantitativeSystemsToxicology

#Sanofi

#SanofiCareers

#PursueProgress

#DiscoverExtraordinary

#WeAreSanofi

#IgnitingPotential

Pursue progress, discover extraordinary

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

The salary range for this position is :€113,760.00 - €151,680

Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors. Employees may be eligible to participate in Company employee benefit programs.

Skills Required

  • Experience in computational toxicology or quantitative systems toxicology modeling in a pharmaceutical or biotech setting
  • Hands-on experience with AI/ML model development and mathematical (QST) modeling
  • Experience integrating computational tools into drug discovery and development workflows
  • Familiarity with regulatory frameworks for in silico methods (e.g., ICH M7, OECD guidelines)
  • Advanced degree (PhD preferred) in Toxicology, Computational Biology/Chemistry, Pharmacology, Cheminformatics, or related discipline
  • Demonstrated leadership and people management experience building and developing multidisciplinary scientific teams
  • Proven cross-functional collaboration and stakeholder management across in vitro, in vivo, project toxicology, and digital/data science teams
  • Strong written and verbal communication skills in English (German is a plus)

Sanofi Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sanofi and has not been reviewed or approved by Sanofi.

  • Retirement Support Retirement support stands out through a notably strong 401K matching structure (e.g., 150% match up to a 6% contribution), which materially boosts total rewards for long-tenured employees.
  • Parental & Family Support Parental and family support is positioned as unusually robust, including a global gender-neutral paid parental leave standard (14 weeks) and added supports such as childcare assistance and adoption/surrogacy/infertility help.
  • Equity Value & Accessibility Equity participation is made more accessible via an Employee Stock Purchase Plan that includes a meaningful purchase discount and matching/free-share mechanics, increasing perceived total compensation beyond base pay.

Sanofi Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Paris
85,000 Employees
Year Founded: 1973

What We Do

We are Sanofi, an innovative global healthcare company. We chase the miracles of science to improve people’s lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions. Interactions with this account must comply with the Terms: https://bit.ly/sanofi-terms

Similar Jobs

SharkNinja Logo SharkNinja

Sales Operations Manager

Beauty • Robotics • Design • Appliances • Manufacturing
In-Office
Frankfurt am Main, Hessen, DEU
4000 Employees

Mastercard Logo Mastercard

Business Development Manager

Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Hybrid
Frankfurt am Main, Hessen, DEU
38800 Employees

HERE Technologies Logo HERE Technologies

Principal Architect

Artificial Intelligence • Automotive • Computer Vision • Information Technology • Internet of Things • Logistics • Software
Hybrid
4 Locations
6000 Employees

NBCUniversal Logo NBCUniversal

Human Resources Director

AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Remote or Hybrid
Frankfurt am Main, Hessen, DEU
68000 Employees

Similar Companies Hiring

Sailor Health Thumbnail
Healthtech • Social Impact • Telehealth
New York City, NY
20 Employees
Granted Thumbnail
Artificial Intelligence • Healthtech • Insurance • Mobile • Financial Services
New York, New York
23 Employees
OneImaging Thumbnail
Healthtech
Miami, FL
62 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account