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Computational Scientist Lead - (Machine Learning) Digital R&D Large Molecule Research

Company: Sanofi
Location: Cambridge
Posted on: September 16, 2023

Job Description:

Computational Scientist Lead - (Machine Learning) Digital R&D Large Molecule Research

  • Location: Cambridge, UK
  • Permanent
    About the job

    You are a dynamic Computational Scientist who will work with other scientists to apply cutting-edge computation, Machine Learning/Deep Learning approaches to revolutionize our large molecule computational tools by contributing to accelerating and improving the process of design and engineering of novel biologics drug candidates.

    Our Team

    Sanofi has the largest biologics portfolio than any other pharma company (70%). You will be on a global team working with experts in the field across France, Spain, Canada, Belgium, Germany, the US, and the UK, to drive AI transformation of the large molecule research process. This role brings together the best of global talent - your work will comprise of cross-functional collaboration across computational sciences, data engineering, MLOps engineering, etc., all focused on building and industrializing high impact, high scale AI models on Sanofi's leading MLOps technology stack.

    Main responsibilities
    • Apply and develop artificial intelligence and machine learning (AI/ML) approaches (e.g. classification, clustering, machine learning, deep learning) on pharma research data sets (e.g. activity, function, ADME properties, physico-chemical properties, etc.)
    • Building models from internal and external data sources, algorithms, simulations, and performance evaluation by writing code and using state-of-the art machine learning technologies.
    • Close interactions with other Computational scientists as well as research scientists in core scientific platforms focusing on protein therapeutics, in an international context (US, Europe, China).
    • Update and report relevant results to interdisciplinary project teams and stakeholders.
    • Maintain a keen awareness of recent developments in data science and bioinformatics 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 as well as outsourcing partners. About you
      • Advanced degree (e.g. M.Sc., PhD) in a field related to AI/ML or Data Analytics such as: Computer Science, Mathematics, Statistics, Physics, Biophysics, Computational Biology or Engineering Sciences.
      • 3+ years of industry experience with a track record of applying ML/Deep Learning (DL) approaches to solve molecule-related problems.
      • Familiarity with protein structure or sequence featurization/embeddings.
      • Strong familiarity with advanced statistics, ML/DL techniques including various network architectures (CNNs, GANs, RNNs, Auto-Encoders, Transformers, PLM etc.), regularization, embeddings, loss-functions, optimization strategies, or reinforcement learning techniques.
      • Proficiency in Python and deep learning libraries such as PyTorch, TensorFlow, Keras.
      • Familiarity with data visualization and dimensionality reduction algorithms.
      • Ability to develop, benchmark and apply predictive algorithms to generate hypotheses.
      • Comfortable working in cloud and high-performance computational environments (e.g. AWS).
      • Excellent written and verbal communication, strong tropism for teamwork.
      • Strong understanding of pharma R&D process is a plus.
      • A change agent with a combination of business, science & technology, and diplomatic skills. Pursue progress . Discover extraordinary .
        Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people.

        At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.

        Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at !

        Visas for those who do not already have the right to work in the UK will be considered on a case by case basis according to business needs and resources.

        We are proud to be a Disability Confident Employer and committed to offering an interview to candidates who request to be considered under the Scheme and meet the minimum requirements required for this role.

        If you consider yourself to have a disability and would like to ask for adjustments to be made at interviews, please email so we can make arrangements for you.

        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.

Keywords: Sanofi, Cambridge , Computational Scientist Lead - (Machine Learning) Digital R&D Large Molecule Research, Other , Cambridge, Massachusetts

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