COMPLETE Senior or Principal Computational Scientist, Machine Learning (ML), DMPK - Cambridge

Sanofi is seeking a Computational Scientist to extend the application of artificial intelligence (AI) and machine learning (ML) approaches in the Drug Metabolism and Pharmacokinetics (DMPK) research platform in Cambridge, USA.

As a member of the Quantitative Pharmacology Research-ML function, the individual will be responsible to:

• Design, develop and use AI/ML approaches to learn and predict pre-clinical and clinical pharmacokinetic (PK) and pharmacodynamic (PD) responses for small and large molecules.   

• The scope of project responsibility will range from early discovery to support modality selection and design, to late development and First in Human PK/PD assessment.

• Establish AI/ML frameworks by analysing and using internal as well as public datasets.

• The Quantitative Pharmacology Research (QPR)-ML group of DMPK supports multiple therapeutic areas and research platforms within the broader R&D organization.

• Work within and across these multiple partner lines the successful candidate needs to have good communication and collaboration skills.

• Be expected to keep up with emerging literature, top of the art AI/ML approaches, and present both internally and externally in publications and/or external meetings.

Preferred Requirements:

• A Ph.D. in Engineering, Computer Science, Mathematics, Statistics, Physics or a field related to AI/ML with 0-5 years of relevant research experience in an academic or industrial setting.

• Industry experience with a track record of applying ML/Deep Learning (DL) approaches in molecule-related problems and ADME prediction preferred.

• Strong familiarity with advanced statistics, ML/DL techniques

• Good understanding of PK and PK/PD principles and familiarity with mechanistic PK/PD modeling, and non-linear mixed effect modeling

• Proficiency in Python and deep learning libraries such as PyTorch, TensorFlow, Keras, Scikit-learn, Numpy, Matpilotlib.

• Strong familiarity with dynamical modeling tools such Matlab, Monolix, NONMEM

• Strong familiarity with data visualization and dimensionality reduction algorithms

• Experience in developing Shiny applications or other web-based tools is a plus

• Strong written, presentation and verbal communication skills are essential.

• Ability to work independently and commit to the development of self.

• Ability to work in a matrix and in a global environment.

Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.

#GD-SA 
#LI-SA

PDN

At Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all.