Digital Toxicologist - all genders

Frankfurt am Main

Sanofi

Explore Sanofi's global impact through our science, healthcare R&D, and partnerships. Committed to advancing global health with innovative solutions.

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About the job

Our Team:

At Sanofi, AI helps us accelerate R&D for patients and supports patient safety throughout the entire research and development process. It’s about harnessing data insights and leveraging AI responsibly to search deeper and solve sooner than ever before. Join our Digital Toxicology team as Computational Toxicologist and you can help make it happen. Your job? Leading, developing and applying AI solutions to predict safety of proteins, antibodies, nanobodies, and synthetic molecules. Drive compound safety and further enhance decision making in discovery and development projects by generative AI and mathematical models. At Sanofi, Digital Toxicology supports both investigative needs and critical decision making throughout all phases of drug discovery and development. As part of the Preclinical Safety unit, Digital Toxicology is linked to investigative and regulatory toxicology, pathology and safety pharmacology expertise.

Main responsibilities:

  • Develop scientific methodology & strategy of generative / AI approaches to safety data exploration and drug safety prediction
  • Drive the analysis, integration, visualization, and interpretation of safety data to contextualize toxicological findings and generate predictive analyses
  • Apply mathematical models to evaluate preclinical toxicity mitigation plan
  • Collaborate with project teams in R&D and provide scientific expertise as computational toxicology expert to aid toxicology representatives in the selection and optimization of large and small molecule therapeutics
  • Participate in external consortia and symposia to keep current with industry trends and regulatory evolution in the systems toxicology field; represent Sanofi interests, maintaining high ethical and scientific standards.
  • Author external presentations and manuscripts to contribute to scientific advancement of the toxicology field.

About you

  • Experience: Hands-on experience with machine learning techniques, especially GenAI and AI models or mathematical models, and their application in toxicology. Track record and demonstrated experience in developing and validating new scientific methodologies and strategies in the field of computational toxicology.
  • Soft and technical skills: Excellent data mining, analysis, integration, interrogation, and interpretation skills are essential, and application to toxicology is critical. Proficiency in programming languages such as Python, R, or MATLAB. Natural strengths in networking and communication are also essential.
  • Education: PhD in Life Sciences, computational toxicology, biology or applied mathematics in pharmaceutical drug discovery

Why choose us?

  • Discover the opportunity to establish new paradigms for toxicology at Sanofi and be an industry leader in the systems and translational toxicology space.
  • Be part of an active, highly innovative scientific organization, having diverse opportunities to collaborate globally and be highly recognized for successes
  • Bring the miracles of science to life alongside a supportive, future-focused team.
  • Benefit from a well-thought-out benefits package that rewards your contribution and commitment.
  • We take care of you and your family with a wide range of health and social such as high-quality healthcare, numerous prevention programs and coverage for long-term illness. Our 14-week paid family leave for both parents is outstanding as well as a wide range of childcare benefits.
  • Start your career at an attractive location based in Frankfurt/Germany and experience our modern working environment and benefit from hybrid, flexible working time models.

“Using the power of Computational Toxicology, we are not just predicting drug safety—we are pioneering a future where innovative methodologies transform data into life-saving insights”
Friedemann Schmidt, Head of Digital Toxicology

Pursue Progress. Discover Extraordinary.

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. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s 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, or gender identity.
 

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

 #LI-Onsite

#DigitalToxicology

#ArtificialIntelligence

#DataMining

#LargeMolecules

#SmallMolecules

#Sanofi

#SanofiCareers

#PursueProgress

#DiscoverExtraordinary

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!

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Tags: Biology Data Mining Drug discovery Generative AI Machine Learning Mathematics Matlab Pharma PhD Python R R&D Research

Perks/benefits: Career development Equity / stock options Flex hours Health care

Region: Europe
Country: Germany

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