Applied Digital Toxicology Expert - all genders

Sanofi; Frankfurt; Vor Ort; EUR 60.000 - 85.000; Vollzeit

Zusammenfassung

Sanofi is seeking a Computational Systems Toxicologist to lead and apply Quantitative Systems Toxicology approaches in predicting the safety of various compounds. This role is critical in enhancing decision-making during drug development, requiring a PhD and expertise in mathematical modeling and toxicology.

Leistungen

14-week paid family leave

Health care benefits

Childcare benefits

Hybrid working models

Qualifikationen

• Requires hands-on experience with mathematical models in toxicology.
• Must have a track record in developing and validating scientific methodologies.
• Soft skills include strong data interpretation and analytical skills.

Aufgaben

• Lead development of mechanistic systems biology models.
• Collaborate with project teams to provide toxicology expertise.
• Drive analysis and interpretation of safety data.

Kenntnisse

Data mining

Data analysis

Mathematical modelling

Networking

Communication

Ausbildung

PhD in applied mathematics, biomathematics, systems biology or computational biology/toxicology

Tools

MATLAB

R

Python

Jobbeschreibung

At Sanofi, computational modelling and simulation of drug safety 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 mathematical models and digital twins responsibly to search deeper and solve sooner than ever before. Join our Digital Toxicology team as Computational Systems Toxicologist and you can help make it happen. Your job? Leading, developing and applying Quantitative Systems Toxicology approaches to predict safety of proteins, antibodies, nanobodies, and synthetic molecules. Provide actionable insights to medicinal chemists, toxicologists, and clinical teams for candidate selection, lead optimization, and risk mitigation by predicting organ toxicities and safety biomarkers. Drive compound safety and further enhance decision making in discovery and development projects by working with interdisciplinary teams. 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 mechanistic systems biology models to facilitate safety data exploration and drug safety prediction at the interface between pharmaceutical drug research and development
• 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.
• Experience : Hands-on experience with mathematical models, and their application in toxicology, e.g. mechanistic systems biology models, Quantitative Systems Toxicology, digital twins. 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 mathematical modelling environment, such as MATLAB or R, and programming languages such as Python. Natural strengths in networking and communication are also essential.
• Education : PhD in applied mathematics, biomathematics, systems biology or computational biology / toxicology with knowledge in pharmaceutical drug discovery and / or toxicology

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.

Friedemann Schmidt, Head of Digital Toxicology

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 and check out our Diversity Equity and Inclusion actions at !

LI-Hybrid

MechanicSystemsBiology

Pursue , discover

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 and check out our Diversity Equity and Inclusion actions at !