Principal Scientist, Computational Antigen Design - Vaccines

Job title: Principal Scientist, Computational Antigen Design- Vaccines

Main Responsibilities:

Computational Structural Biology and Machine Learning

• Develop and apply AI-based protein design pipeline to design next generation vaccine antigens, including conformation-stabilized antigens, epitope scaffolds, chimera antigens, and nanoparticles.

• Apply computational/machine learning tools to model antigens of interest

• Designs and performs computational experiments with a “fail fast” spirit and considers the outlier result to be the most interesting result

• Explores future directions of Computational Structural Biology/Machine Learning and keeps abreast of the latest developments

• Acts as a subject matter expert in computational structural biology

• Produces high-quality analyses and codebases that extend the capabilities and impact of the team as a whole

• Generates IP and participates in the drafting of patent filings

Internal and External Networking

• Participates in relevant Project Teams and proactively maintain an open interface and communication channel with relevant areas of the company.

• Ensures transparent and cooperative liaison with other positions around innovation and artificial intelligence/big data within the wider Sanofi Group.

• Ensures efficient and agile communication of key information, process and workflow operational element in various circumstances

• Leads by Influence, mentor diverse staff in the interpretation and generation of novel vaccine candidates' performance data

• Develops and maintains an international network of experts in computational structural biology / machine learning, key science, technology and innovation areas, including outside the typical vaccine industry.

• Representations and interventions at the international/community level on relevant structural biology/machine learning matters. Presents at conferences.

CONTEXT OF THE JOB/MAJOR CHALLENGES

This position is key for achieving the mission of the Computational Antigen Design: pioneering, testing and implementing innovative cutting-edge biological science and novel Structural Biology/Machine Learning technology solutions and concepts towards antigen design.

The major challenges related to the role are:

• The complexity and variety of the role: ability to switch smoothly between different scientific and operational disciplines and requirements; being able to marry deep scientific research and fast exploratory mindset with proper documentation.

• Execute on a variety of timescales and merge results from many sub-disciplines and techniques to assess and design

• The need to quickly transform an idea into an experiment and learn from the result to decide on the next step, which might be to kill the idea.

• An unusually strong combination of biological science knowledge, structural biology, systems biology, and computer science knowledge.

• Tact, diplomacy, people skills, and excellent networking and communication (both oral and written) skills in general are important.

About You

• Earned Ph.D. in Bio-engineering, Bioinformatics, or Computational Biology. 1+ years’ postdoctoral or industry experience preferred

• Experience in AI-based protein design is required 

• Experience in scripting languages, such as Python/R/PERL, is required.

• Experience in protein modeling (homology and ML-based) and sequence analyses is required.

• Experience in antigen design is highly desired.

• Experience in nanoparticle design is highly desired

• Experience in molecular dynamics is highly desired.

• Experience with big data, cloud computing and parallel computing is required. 

• Experience in modeling viral antigens is highly desired.

• Mastery of fundamentals (e.g., thermodynamics, macromolecule physics, force field design, protein design, essential biochemistry) in protein design.

• Experience in interfacing with wet-lab experimentalists is required.

• Strong experience writing and deploying novel algorithms, developing and testing new models.

• A strong passion for empirical research and for answering hard questions with data

• Asymmetrical thinker who sees patterns of the big picture emerge from the parts. Creative brainstormer, skilled in divergent thinking. Ability to navigate ambiguity and interact effectively with unconventional people and ideas.

• Highly flexible and adaptable individual able to thrive in a fast pace and ambiguous environment.

• Ability to process multiple inputs to develop a clear understanding of a problem, issue or potential solution and translate them into practical business opportunities.

• Excellent analytical and problem-solving as well as communication, scientific writing and presentation skills. Ability to put together a convincing business case.

• Excellent communication skills

Why Choose Us?

• Bring the miracles of science to life alongside a supportive, future-focused team.

• Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.

• Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.

• Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.

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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