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Sanofi Group Associate Director of Data Science: Precision Medicine in Cambridge, Massachusetts

About the Company:

Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions and consumer healthcare. More than 110,000 people in over 100 countries at Sanofi are dedicated to make a difference on patients’ daily life, wherever they live and enable them to enjoy a healthier life. As a company with a global vision of drug development and a highly-regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of Artificial Intelligence (AI) in the R&D organization including drug discovery, chemical manufacturing and control, translational research, clinical development, and regulatory document management and submission. Details of the organization and the company’s mission and goals can be found on our website (http://www.sanofi.us/l/us/en/index.jsp).

Overview:

Artificial Intelligence (AI) and Machine Learning (ML) can significantly speed up drug discovery and development and shorten identification of the right patients for clinical trials thereby creating better medicines that save lives. AI and Deep Analytics (AIDA) is a critical group in Digital and Data Science (DDS) organization at Sanofi R&D focused on applications of AI/ML and Deep Learning (DL) in Precision Medicine, Digital Pathology, in silico drug design, digital health and extracting of knowledge and insights from documents.

Our existing research and development areas include Bioinformatics applied to analysis of the single-cell sequences, spatial transcriptomics, and multi-omics data for biomarker discovery, target identification, and patient stratification; de novo design of multispecific antibodies; Deep Learning-based biomarker discovery from histopathology images; natural language processing (NLP), digital signal processing (DSP) and machine learning applied to digital health and patient-generated data from wearables.

We are seeking a Director of Data Science specializing in Bioinformatics and Precision Medicine in the AIDA Group .

The successful candidate will manage a small group of Bioinformatics and Bioimaging scientists working closely with precision immunology, precision oncology, translational medicine, and early development at Sanofi R&D.

The candidate will directly report to the Global Head of AI and Deep Analytics at Sanofi R&D. The head of AIDA is an experienced Data Scientist with a PhD and Master’s degree from MIT and over 25 years of experience in machine learning applications in life sciences and technology.

The responsibilities of the director of data science in AI and Deep Analytics will include:

  • Applying AI/ML algorithms to tasks such as classification, clustering, prediction, dimensionality reduction, data visualization, relationship discovery, and causal inference.

  • Close interactions with other data scientists in AIDA as well as scientists in immunology, oncology, and translational medicine

  • Update and report relevant results to interdisciplinary project teams and stakeholders

  • Maintain a keen awareness of recent developments in data science and precision medicine

  • Active engagement in evaluation and coordination of both academic and startup collaborations

Qualifications & Requirements:

  • A PhD degree (and preferably a postdoc) in Bioinformatics, Computational Biology, Computer Science, Engineering Sciences, and Applied Mathematics

  • +10 years of industry experience with a strong record of accomplishments and project experience in systems biology and/or precision medicine

  • Strong familiarity with core concepts in Machine Learning and Statistical Analysis

  • Familiarity with Data Visualization and dimensionality reduction algorithms

  • Proficiency in Python or R, SQL databases

  • Ability to develop, benchmark and apply predictive algorithms to identify novel biomarkers, dissect gene/disease relationships and generate hypotheses

  • Experience with Bayesian analysis and causal inference

  • A change agent with a combination of business, science & technology, and diplomatic skills

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.

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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.

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