At Sanofi Large Molecule Research Platform, we have a strong ambition to utilize machine learning (ML) and artificial intelligence (AI) in all aspects in biologics discovery and development, with comprehensive programs spanning from deep repertoire mining to de novo design. Additionally, we are open and actively collaborate with leading biotech and academia. The new opening senior data scientist role is to seek a machine learning expert with strong expertise in modern data analysis methods, including NLP, graph, and 3D geometry-aware models. The successful candidate will work in an interdisciplinary team to apply cutting-edge computation, ML/DL, sequence-based and structure-based methods to resolve challenges in real-world drug discovery. This is an exciting opportunity to contribute to the process of design and engineering revolutionary biologics, including multivalent, multi-targeting molecules by leveraging large amount of proprietary data coming from our industry-leading high-throughput automation platforms. The successful candidate will gain deeper insight into drug development process and transform ML/DL algorithms into accelerating biologics discovery and development process, and make impacts to patients’ life.
+ Evaluate and develop state-of-the-art computational methods to decode biophysical and geometrical features from antibody-antigen datasets and create predictive models for engineering.
+ Develop and apply complex machine/deep learning solutions to our high-content and high-quality proprietary datasets, as well as public datasets.
+ Perform data querying and feature extraction to improve current workflow for antibody/nanobody engineering, including affinity modification, cross-reactivity engineering, multi-parametric optimization, liability risk prediction and mitigation, multi-specific antibody engineering, and _de novo_ antibody design.
+ Maintain a keen awareness of recent developments in data science, bioinformatics, and state-of-the-art of ML/DL algorithms, aiming to accelerate development of new computational algorithms.
+ Effectively collaborate with colleagues with diverse scientific background, identify problems and opportunities, combine computational and structural analysis to support large molecule projects.
+ PhD in Biostatistics, Physics, Computation Biology, Biomedical Engineering, Computer Science, Applied Mathematics, Structural Biology or related discipline or a Master's degree with a minimum of 3 years of relevant experience.
+ Hands-on experience with modern machine learning models, including Transformers, GNN, RNN, MLP etc.
+ Efficient in programing using deep learning libraries such as PyTorch, TensorFlow, and Keras.
+ Experience with cloud computing, parallel computing, and/or supercomputing is expected.
+ Track record of applying machine learning/ deep learning approaches to solve molecule-related problems.
+ Familiarity with molecular structure or sequence featurization and learned embeddings.
+ Experience with database mining, big data, and large-scale virtual screening using Bayesian Optimization or Gaussian Processes is desired.
+ Familiarity with Data Visualization tools/libraries and dimensionality reduction algorithms.
+ Understanding of protein structure and protein-protein interaction. Experience with structural analysis and optimization of biochemical and biophysical properties, like thermodynamics, with protein design tools e.g. Rosetta, BioLuminate, or MOE, etc.
+ Understanding of biologics R&D process is a plus.
At Sanofi R&D North America, we deliver meaningful solutions for patients. We transform science into breakthrough, best-in-class and first-in-class medicines and vaccines. We believe in creating a diverse and inclusive workforce – and workplace – which brings together the collective brainpower of over 2,000 colleagues and provides you with an exciting place to grow and develop. We set the bar high, and we deliver. Join us and together we will build on our trusted legacy of breakthroughs for society.
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