Success Profile

Courageous
Results-driven
Proactive
Problem-Solver
Leadership
Team player

iMove, the Sanofi VIE Program, is available to citizens of the European Economic Area (EU + Norway, Liechtenstein and Iceland) aged between 18 and 28.

PLEASE NOTE that since this program is primarily an international development program, candidates cannot apply to a VIE assignment in their own country of citizenship.

PLEASE NOTE that applications that are only submitted in French cannot be considered by our non-French speaking partners at Sanofi worldwide.

Therefore, only applications that are submitted in English will be considered.

At Sanofi diversity and inclusion is foundational to how we operate and is embedded in our Core Values. We respect the diversity of our people, their backgrounds and experiences. 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 employees, patients and customers.

We are looking for: Data Science for Precision Medicine - VIE Contract (W/M)

Target start date: 01/08/2023

Our Team:

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 Data 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; 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. The 30 Scientists in our group come from diverse backgrounds in computational sciences and engineering with deep expertise in AI/ML, deep learning, biostatistics, and algorithms.

The activities of the Omics Data Science team are dedicated to the analysis of complex (multi-)omics data sets (mostly bulk-, single cell-, spatial- sequencing data and real word data). The goals of the team are to afford advanced omics data analysis to support and accelerate projects from the R&D pipeline (biomarker identification, patient stratification, indication expansion, disease endotype identification, target identification…). The team works with the state-of-the-art analytical approaches that are best adapted to solve questions from project teams but also adapts/develops tools when necessary.

We are seeking a V.I.E. with a strong expertise in Data Science applied to Precision Medicine to join our Omics Data Science (ODS) team. The candidate will have to implement their knowledge in Data Science and Machine Learning to accelerate the team's development strategy in the field of Knowledge Graphs and Graph Machine Learning.

The successful candidate will be located in Cambridge (US) and will report to the Senior Director of ODS and will work closely with the US based team members who are already working in this area.

Responsibilities:

• Support the team in the deployment of Knowledge Graphs within Sanofi infrastructure
• Support the team in structuring computing environments dedicated to Graph Machine Learning
• Integrate new and relevant data into exiting Knowledge Graphs to enrich the quality of outcomes
• Ensure that all newly developed applications are accessible to the entire community of Sanofi’s data scientists and bioinformaticians
• Work within multidisciplinary project teams in an international context (US, Europe, China). maintaining close interactions with other data scientists as well as scientists in immunology, oncology, and precision medicine departments
• Execute work plans on time, update and report relevant results to interdisciplinary project teams and stakeholders
• Constantly monitor literature to maintain in-depth knowledge of the most recent developments in data science, knowledge graph and Graph Machine Learning algorithms as well as the latest applications in the field of precision medicine

Requirements:

• A master or an Engineer degree in Data Science, Computational Biology, Computer Science, or Engineering Sciences
• At least 1 year of professional experience relevant for the position
• Strong expertise in Data Science (data analysis, machine learning, statistics…)
• Strong expertise in biomedical engineering (bioinformatics, real world data analysis, biology)
• Familiarity with Deep Learning, Neural Networks, embeddings, and Transfer Learning
• Familiarity with data visualization and dimensionality reduction algorithms
• Prior knowledge in Knowledge graphs and graph machine learning is a plus
• Ability to develop, benchmark, and apply predictive algorithms to generate hypotheses
• Proficiency in Python and/or R. Experience with relevant libraries and frameworks such as NetworkX, PyTorch and PyG is a plus
• Experience with version control systems (Git), and familiarity with containerization technologies (Docker)
• Excellent attention to details and dedication to excellence
• Strong written, oral, and interpersonal communication skills
• Strong aptitude to work within multidisciplinary team environment
• Strong project management skills including organization, time management, prioritization and follow-up are key
• Fluency in English

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.