SIBR - Data Scientist, In silico Drug Design and Machine Learning

Key Skills

Java Programming, Design, Python Programming, SQL, Aartificial intelligence, Data science techniques, Data Visualization, Deep Learning, Keras software library, PyTorch, TensorFlow, Algorithms, OpenCV, Neural Networks, Terabyte scale datasets, Data Analysis

Job Description

Sanofi Institute for Biomedical Research (SIBR) is seeking a highly motivated individual with extensive experience in biomedicine and data science to join our institute located in Suzhou, China. This role will have a dual reporting role to the Head of China Research and Global Head of AI and Deep Analytics (AIDA) at Data & Data Science (DDS) department of Sanofi R&D.

The responsibilities of the data scientist/Sr. data scientist in China Biomedical Research and DDS will include:

• Participate in data science initiatives to support SIBR research projects by applying advanced AI/ML algorithms
• Assist SIBR scientists in experimental design, sample preparation, data analysis and interpretation in computational drug design research
• Build models from internal and external data sources, algorithms, simulations, and performance evaluation by writing codes and using state-of-the art machine learning technologies (AI/ML/QSAR) for both large and sparse datasets
• Drive development and usage of de novo design technologies in combination with multiparameter optimization in the context of systematic hypothesis scoring and prioritization
• Close interactions with other SIBR scientists specializing in immunology, oncology, and translational medicine (TMED)
• Update and report relevant results to interdisciplinary project teams and stakeholders
• Maintain a keen awareness of recent developments in data science, precision medicine, and machine learning
• Active engagement in evaluation and coordination of both academic and startup collaborations as well as outsourcing partners

Qualifications & Requirements:

• PhD degree in Computer Science, Biophysics, Cheminformatics, Computational Biology, or Computational Chemistry with strong expertise in data science and machine learning
• Industry/academic experience with a strong record of accomplishments, in particular solving Molecular design or Biological-Macromolecule related problems
• Ability to develop, benchmark and apply predictive algorithms to molecular design and generate hypotheses
• Familiarity with Deep Learning, Neural Networks, Embeddings, and Transfer Learning

• Familiarity with Data Visualization and dimensionality reduction algorithms
• Proficiency in Python or R and SQL databases
• Familiarity with some of deep learning libraries such as Keras, TensorFlow, PyTorch, and OpenCV
• Ability to function and communicate in a highly multidisciplinary and culturally-diverse business environment
• Fluent in English. Proficiency in Chinese is a plus but not required.
• A change agent with a combination of business, science & technology, and diplomatic skills