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Senior Data Scientist : Machine Learning and Protein Design

Cambridge, Massachusetts

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Overview

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Responsibilities

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 (http://www.sanofi.us/l/us/en/index.jsp).

Overview:

Artificial Intelligence (AI) and Machine Learning (ML) algorithms can significantly speed up drug design and 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) department of Sanofi R&D focused on applications of machine learning (ML), Deep Learning (DL), and advanced statistics in drug design, digital pathology, Bioinformatics applied to multiomics data , digital health and wearables, and natural language processing (NLP).

Scientists in our team come from diverse backgrounds in computational sciences, life sciences, and engineering with deep expertise in AI/ML and algorithmic analysis of data.  

We are looking for a Data Scientist specializing in design of antibodies with a strong background in deep learning and NLP and familiarity with modeling protein sequences in our AI and Deep Analytics (AIDA) group at Sanofi R&D. This is in close collaboration with Large Molecule Research (LMR) department of R&D that specializes in design of therapeutic antibodies, nanobodies and protein engineering.

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 strong background in computational biology with a PhD and Master’s degree from MIT and over 25 years of experience in machine learning theory and applications.   

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

  • Applying AI/ML for modeling, representation of the sequence and biological data of antibodies
  • Close interactions with other data scientists, scientists from LMR, 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 machine learning applied to drug design  
  • Active engagement in both academic and startup collaborations whenever necessary

Qualifications & Requirements:

  • PhD degree in Computer Science, Biophysics, Bioinformatics, Computational Biology, and Life Sciences with strong expertise in data science and machine learning  
  • +5 year(s) of experience with a strong record of accomplishments and project experience in biological applications of AI/ML   
  • Familiarity with Deep Learning, Neural Networks, Embeddings, and Transfer Learning
  • Familiarity with Data Visualization tools and dimensionality reduction
  • Proficient in Python, SQL, and NoSQL databases
  • Familiarity with some of deep learning libraries such as Keras, TensorFlow, and PyTorch
  • The ability to work with multi-GPU machines on the cloud
  • A change agent with a combination of business, science & technology, and diplomatic skills

Preferred Qualifications:

  • Knowledge of biology of antibodies and protein engineering is a plus
  • Familiarity with basic concepts in molecular biology and biochemistry
  • Experience with representation and modeling of protein/antibody sequences is a plus

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.

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.

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.

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