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Senior Data Scientist Bioimaging & Deep Learning (H/F)
  • Python
  • SQL
  • Machine Learning
  • Database
  • Data Visualization
  • Modeling
  • NLP
  • NoSQL
  • Deep Learning
  • Keras
Sanofi
Chilly-Mazarin (91)
178 days ago

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 ( https://www.sanofi.fr/ ).

Job Overview:

Artificial Intelligence (AI) and Machine Learning (ML) algorithms can significantly speed up drug discovery and shorten the time-to-market for drug development thereby creating better medicines that save lives. AI and Deep Analytics (AIDA) is a critical group in Digital and Data Science (DDS) focused on applications of AI/ML and Deep Learning (DL) in biologics drug discovery; image processing and computer vision (CV) for digital pathology, natural language processing (NLP) for sequence analysis, language modeling, and deep understanding of documents; wearable devices for digital clinical trials; IoT for bioprocess manufacturing; and Bioinformatics.

Image Segmentation, Classification, and Processing has broad applications in the pharmaceutical industry, particularly, in Digital Pathology (DP) applied to medical images of cancer patients as well as patients suffering from neurodegenerative diseases. This involves modeling and characterization of properties of images of tumors that can be effectively used for both personalized treatment of cancer patients (Precision Oncology), or monitoring the progress of status of clinical trials. Manual processing of pathology images by a Subject Matter Expert (SME) takes a relatively long time (e.g. a few weeks per image). This significantly limits evaluation of large number of images during a late-stage clinical trial. To overcome this limitation, novel deep learning-based image processing algorithms need to be utilized to speed up the process greater than 10 fold and reduce both the cost and length of such clinical trials. At the level of an individual patient, the baseline diagnosis can be done significantly faster.

We are looking for a Senior Data Scientist with a strong background in histopathalogy, bioimaging, high-resolution microscopy, cell microscopy , image processing, and deep learning in our AI and Deep Analytics (AIDA) group at the Digital and Data Science (DDS) organization of 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 in Electrical Engineering and Computer Science and over 25 years of experience in machine learning.

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

  • Applying AI/ML for modeling and embedding of biological sequences and classification, clustering, visualization, and prediction of properties of large datasets of sequences.
  • 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 developments in data and cloud infrastructures and state-of-the-art of AI/ML/DL algorithms and research results
  • Evaluate and coordination of both academic and startup collaborations

Qualifications & Requirements:

  • A PhD degree in Computer Science, Electrical Engineering, Applied Mathematics, or Physics with an emphasis on machine learning and deep learning
  • 3+ years industry experience with a strong record of accomplishments and project experience in applications of AI/ML
  • Strong familiarity with Deep Learning, neural network architectures including CNNs, RNNs, Embeddings, Transfer Learning, Attention-based Networks, and Variational Autoencoders.
  • Familiarity with Data Visualization tools/libraries and dimensionality reduction algorithms
  • Proficient in Python, SQL, and NoSQL databases
  • Familiarity with deep learning libraries such as PyTorch, TensorFlow, Keras, 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

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.

As part of its diversity commitment, Sanofi is welcoming and integrating people with disabilities.

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