Data Scientist - NLP

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 making a difference in patients’ daily lives, wherever they live and enabling 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 (https://www.sanofi.us/en/). 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 focused on applications of AI/ML and Deep Learning (DL) in drug design, disease modelling, drug development, and analysis of outcomes of clinical trials with multimodal data. Our existing research and development areas include Biologics and Molecular Drug Design; Natural Language Processing (NLP) applied to deep document understanding, summarization, information extraction, generation of automated reports, search and translation. Deep Learning-based Imaging applied to histological images of cancer tissues and bioimaging-based disease modeling using high-resolution microscopy. Bioinformatics applied to single-cell sequences, multi-omics data, and real-world data (RWD); digital signal processing (DSP) and machine learning applied to digital health and patient-generated data from wearables during digital clinical trials. Scientists in our team come from diverse backgrounds in computational sciences and engineering with deep expertise in AI/ML, deep learning, and algorithmic analysis of data. We are looking for a Data Scientist with a strong background in deep learning and its applications modeling and analysis of unstructured text and documents in our AI and Deep Analytics (AIDA) group at Sanofi R&D. The responsibilities of the data scientist in AI and Deep Analytics will include: - Applying AI/ML for modeling and embedding of data plus performing tasks such as classification, clustering, prediction, generation, relationship discovery, and causal inference. - Close interactions with data engineers, subject matter experts (SMEs), and business stakeholders. - Update and report relevant results to interdisciplinary project teams and stakeholders. - Maintain a keen awareness of recent developments in data science and cloud computing infrastructures and state-of-the-art of AI/ML/DL algorithms and research results. - Active engagement in evaluation and coordination of both academic and startup collaborations. Qualifications & Requirements - A PhD degree or Masters in Computer Science, Information and Engineering Sciences, Computational Linguistics, Applied Mathematics or Applied Sciences with an emphasis on machine learning and deep learning. - 1-3 years of post-doctorate or industry experience for Ph.D or 7-10 years for MS with a strong record of accomplishments and project experience in applications of AI/ML and NLP. - Strong familiarity with Deep Learning, neural network architectures including CNNs, RNNs, Embeddings, Transfer Learning, Language Models, Attention-based Networks, Transformers and Reinforcement Learning. - Familiarity with Data Visualization tools/libraries and dimensionality reduction algorithms. - Proficient in Python, SQL, and NoSQL databases. - Familiarity with some of deep learning libraries such as PyTorch, Keras, TensorFlow, Gensim, SpaCy, OpenCV. - The ability to work with APIs and multi-GPU machines on the cloud. - 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. #GD-SA #LI-SA 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.