Principal Data Scientist, Knowledge Graphs and Precision Medicine

Key Skills

Java Programming, Python Programming, Database, SQL, Agile methodologies, Aartificial intelligence, Machine learning techniques, Data science techniques, Data Visualization, Deep Learning, Natural Language Processing (NLP), R Programming, Statistics, Algorithms

Job Description

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

Overview:

Artificial Intelligence (AI) and Machine Learning (ML) algorithms can significantly speed up drug discovery and shorten drug development and identification of 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 drug design, multi-omics diseases modeling, drug development, and analysis of outcomes of clinical trials.

Our existing research and development areas include Omics Data Science applied to single-cell RNA sequences, multi-omics data integration, and real word data (RWD); Biologics Drug Design; Natural Language Processing (NLP); Deep Learning-based Imaging and bioimaging for digital pathology and Spatial Biology; digital signal processing (DSP) and machine learning applied to digital health and patient-generated data from wearables.

Scientists in our team come from diverse backgrounds in computational sciences and engineering with deep expertise in AI/ML, deep learning, biostatistics, and algorithms.

We are seeking a Principal Data Scientist to join the AI and Deep Analytics (AIDA), Omics Data Science (ODS) team. ODS closely interacts with all Precision Medicine groups at Sanofi R&D.

The successful candidate will have extensive experience in biomedical knowledge graphs development and graph representation learning. Strong expertise in advanced statistics, machine & deep learning, with published studies aimed at identifying causality in complex heterogenous biomedical networks, is mandatory. An experience in integrating patient records (EHR) into biomedical knowledge graphs would be a plus. The candidate should also have excellent oral and written communication skills, the ability to learn and acquire new techniques and methodologies as well as a strong tropism for teamwork.

The candidate is expected to lead and execute analytical strategies for patient deep phenotyping using public data, molecular, real-world, and clinical data for new indication identification, disease endotype characterization, and drug repurposing.

The candidate will directly report to the Director of Omics data science Sanofi R&D.

The responsibilities of the principal data scientist in AI and Deep Analytics will include:

• Building biomedical knowledge graphs for high priority indications using internal and external data sources.
• Learning representation from knowledge graphs using different methods (including embeddings and GNN) to extract patterns predictive of endpoint of interests (disease endotypes, target identification, patient stratification, drug repurposing).
• Evaluating external opportunities in the field of knowledge graphs as well as setting up and leading external collaborations in the field.
• Closely interacting with other data scientists as well as scientists in immunology, oncology, and precision medicine groups, in an international context (US, Europe, China).
• Updating and reporting relevant results to interdisciplinary project teams and stakeholders.
• Maintaining a keen awareness of recent developments in data science and bioinformatics and state-of-the-art of AI/ML/DL algorithms and research results.
• Actively engaging in evaluation and coordination of both academic and startup collaborations.

Qualifications & Requirements:

• A PhD degree in Bioinformatics, Biostatistics, Biophysics, Computational Biology, Computer Science, and Engineering Sciences
• +7 years of industry experience with a strong record of accomplishments and project experience in applications of AI/ML in biological systems
• Experience with knowledge graphs development and graphs representation learning
• An experience in integrating multi-omics and Real-World data in biomedical knowledge graphs would be a plus.

• Strong familiarity with core concepts in advanced statistics, machine learning, and deep learning
• Familiarity with data visualization and dimensionality reduction algorithms
• Proficiency in Python or R, SQL databases
• Ability to develop, benchmark and apply predictive algorithms to generate hypotheses
• A change agent with a combination of business, science & technology, and diplomatic skills

At Sanofi R&D North America, we deliver meaningful solutions for patients. We transform science into breakthrough, best-in-class and first-in-class medicines and vaccines. We believe in creating a diverse and inclusive workforce – and workplace – which brings together the collective brainpower of over 2,000 colleagues and provides you with an exciting place to grow and develop. We set the bar high, and we deliver. Join us and together we will build on our trusted legacy of breakthroughs for society.