* Application link:

* https://sanofi.wd3.myworkdayjobs.com/SanofiCareers/job/Framingham-MA/Computational-Biology-Scientist–Machine-Learning-in-Large-Molecule-Research_R2561961

*

* About the Company:

Every day, Sanofi’s 100,000 employees are committed to improve the lives of people around the world, with sustainable and responsible solutions and initiatives.
+Sanofi is recognized as one of the leading biopharmaceutical companies in the world and is pioneering innovation in biologics with the first approved nanobody
+drug, the first clinical stage tri-specific antibody, and a novel genetic codon expansion platform for new engineering capabilities. 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:

Sanofi Large Molecule Research Platform is opening a new scientist/senior scientist role to seek a computational biologist with strong expertise in computational
+biology, bioinformatics, artificial intelligence (AI), machine learning (ML), and deep learning (DL). The successful candidate will work in an interdisciplinary
+team to apply cutting-edge computation, AI/ML/DL, and structural biology technologies to resolve challenges in real-world drug discovery and make impacts to
+patients’ life. This is an exciting opportunity to contribute to the process of design and engineering revolutionary biologics, including multivalent,
+multi-targeting molecules by leveraging proprietary data coming from our industry-leading high-throughput automation platforms. The successful candidate will gain
+deeper insight into drug development process and transform AI/ML algorithms into accelerating biologics discovery and development process.

Your responsibilities include:

o 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.

o Develop and apply complex machine/deep learning solutions to our high-content and high-quality proprietary datasets, as well as public datasets.

o Perform data querying and feature extraction to improve current workflow for antibody/nanobody engineering, including affinity modification, cross-reactivity
+engineering, liability risk prediction and mitigation, multi-specific antibody engineering, and de novo antibody design.

o Maintain a keen awareness of recent developments in data science, bioinformatics, and state-of-the-art of AI/ML/DL algorithms, aiming to accelerate development
+of new computational algorithms.

o Effectively collaborate with colleagues with diverse scientific background, identify problems and opportunities, combine computational and structural analysis
+to support large molecule projects.

Basic qualifications:
o MS with 5+ years’ or Ph. D. with 0-5 years’ experience in computational structural biology, bioinformatics, computational chemistry, or computational physics,
+with significant experience in data science and machine learning.

o Understanding of protein structure and protein-protein interaction. Hands-on experience with structural analysis and optimization of biochemical and biophysical
+properties, like thermodynamics, with protein design tools e.g. Rosetta, BioLuminate, or MOE, etc.

o Strong familiarity with core concepts in Deep Learning and Neural Networks including CNNs, RNNs, Embeddings, Transfer Learning, Attention-based Networks,
+Statistical Learning.

o Familiarity with deep learning libraries such as Keras, TensorFlow, PyTorch, and bioinformatics pipelines

o Experience of developing computational prediction models for protein engineering through programming with Python, Shell, or SVL, etc. Experience with cloud
+computing, parallel computing, and/or supercomputing is expected.

o Familiarity with protein structure or sequence featurization and learned embeddings. Experience with database mining, big data, and large-scale virtual
+screening using Bayesian optimization etc is desired.

o Familiarity with Data Visualization tools/libraries and dimensionality reduction algorithms.

Preferred qualifications:

o Understanding of biologics R&D process 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.

#GD-SA

#LI-SA

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.

Thanks,
Yu Qiu
Principal Scientist, Protein Engineering, Biologics Research
TEL.: (+1)508-270-2555
49 New York Avenue – Framingham, MA 01701 – USA