Principal Scientist, Structure Biology and Computational Biologics Design

Position Overview:
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 novel synthetic biology for new engineering paths. Details of the organization and the company's mission and goals can be found on our website (http://www.sanofi.us/en).
Our Protein Engineering group within the Large Molecule Research Platform US is seeking a computational protein designer, with strong expertise in computational structure modeling, protein chemistry, and structural biology. The successful candidate will work in a collaborative and professional environment to design and engineer revolutionary large molecule medicines, including multivalent, multi-targeting molecules. This is an exciting and unique opportunity to contribute and grow to resolve challenges in real-world large molecule drug discovery and make impacts to patients' life.
Key Responsibilities:
- Effectively collaborate with colleagues with diverse scientific background, deliver and present computational modeling and structural biology analysis to support large molecule projects.
- Evaluate and establish leading edge computational modeling methods to expand and automate analysis of antibody-antigen complexes.
- Develop and integrate modeling and structural biology methods 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.
- Closely monitor leading edge developments in scientific literatures and develop new skills in the area of structural biology and antibody engineering.
Basic Qualifications:
- Ph. D. with 5+ years of experience in computational structural biology, bioinformatics, structural biology, biochemistry, or biophysics, with significant experience in protein modeling.
- In-depth understanding of protein structure and protein-protein interaction; Hands-on experience with protein structure modeling, structural analysis and optimization of biochemical and biophysical properties, like thermodynamics, with protein design tools e.g. Rosetta, BioLuminate, or MOE, etc.
- Experience of applying and optimizing computational workflow for protein modeling and/or engineering through programming with Python, etc. Experience with cloud computing, parallel computing, and/or supercomputing is expected.
- A drive for self-development with a focus on scientific know-how.
- Excellent problem solving and written/oral communication skills, as well as scientific writing, presentation, and collaboration skills.
- Track record of scientific accomplishments as evidenced by a strong publication record.
- Hands-on experience with crystallography or cryoEM preferred.
- Familiarity with statistics and machine learning preferred.
- Understanding of antibody/nanobody structures and biologics R&D process preferred.
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.
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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.