Degree in Computer Engineering
Java Programming, Teamwork, Design, Python Programming, SQL, AWS, Aartificial intelligence, Machine learning techniques, Data science techniques, Data Visualization, Keras software library, Natural Language Processing (NLP), PyTorch, TensorFlow, GANs, Statistics, Algorithms, RNNs, CNNs, Mathematics
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); SMEs and 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 strong expertise in AI/ML, deep learning, biostatistics and algorithms.
We are seeking a Principal/Senior Data Scientist to join the AI and Deep Analytics (AIDA), in silico Drug Design (isDD) team. isDD closely interacts with other scientific platforms at Sanofi R&D to identify and optimize compounds with modalities ranging from small organic compounds to multi-specific biotherapeutics.
The successful candidate will work with other scientists to apply cutting-edge computation, Machine Learning/Deep Learning approaches to resolve challenges in real-world drug discovery. The successful candidate will contribute to accelerating and improving the process of design and engineering of novel biologics drug candidates and make an impact on patient lives.
The responsibilities of the senior data scientist in AI and Deep Analytics will include:
QUALIFICATIONS AND REQUIREMENTS
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.
Sanofi is comprised of three core business units: Specialty Care, Vaccines and General Medicines. Consumer Healthcare will become a standalone business unit. Around the world, more than 100,000 people at Sanofi are dedicated to making a difference in patients' daily lives, wherever they live, and enabling them to enjoy a healthier life.
Suzhou, Jiangsu, China
2-4 year
Vitry-sur-Seine, France
2-4 year
Cambridge, MA, USA
2-4 year
Frankfurt, Germany
2-4 year
Cambridge, MA, USA
2-4 year
Frankfurt, Germany
2-4 year
Gent, Belgium
2-4 year
Frankfurt, Germany
2-4 year
Cambridge, UK
2-4 year
Cambridge, MA, USA
2-4 year
Frankfurt, Germany
0-2 year