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Sanofi Group Principal Scientist in Waltham, Massachusetts

Position Overview:

An accomplished computational chemist, with a strong track record of medicinal chemistry project contributions, experience in multiparameter optimization, and de novo small molecule design.

Key Responsibilities :

  • Act as CADD lead for medicinal chemistry projects and initiatives.

  • Provide computational chemistry support, including cheminformatics, structure and ligand-based hit identification and lead optimization.

  • Perform in-depth analysis of project data, such as HTS results, biochemical assay results, biophysical data, and propose new studies and experiments.

  • Develop and apply predictive models to support medicinal chemistry efforts in the design and prioritization of novel bioactive compounds based on emerging data.

  • Closely monitor biological data (biochemical, biophysical, DMPK, pharmacological, safety) to detect trends and assist project direction.

  • Use knowledge and experience to proactively collaborate with other team members to design target compounds which address challenges and/or test a hypothesis.

  • Understand and articulate the scientific rationale of the project to other scientists.

  • Provide formal and informal mentoring of computational tools within project team and medicinal chemists in the department.

  • Conduct and analyze patent searches, assess the patentability of designed compounds, assist with filing of patent applications.

  • Actively participate in project team meetings, communicate in a clear and precise manner, raise questions which positively influence project direction.

  • Work closely with medicinal chemistry & structural biology scientists with shared ownership and accountability of project.

  • Communicate and interact with staff members in a professional and courteous manner.

  • Participate in international global CADD council to prioritize software, resources, and CADD workflows

  • Champion new modeling techniques and participate in software evaluation and recommendation.

  • Collaborate with data scientist to implement predictive models/tools within informatics platform.

  • Adapt to changes and challenges in a productive and professional manner.

  • Conduct work according to HSE guidelines and adhere to all mandatory company compliance requirements.

  • Act as an ambassador for the department and company, attend appropriate scientific meetings to increase knowledge and stay current with journal and patent literature.

Requirements & Qualifications:

  • Ph.D. in computational chemistry, chemical informatics, physical organic chemistry, biophysics, medicinal chemistry or related field with minimum of 5 years of relevant research experience in an academic or biopharmaceutical setting.

  • Strong understanding of computational modeling techniques includes QSAR methods, pharmacophore development, 2-D and 3-D similarity, data mining and visualization, protein modeling, conformational analysis, molecular docking, and library analysis and design.

  • Proficient in the use of modeling techniques and capable of developing and automating workflows.

  • Demonstrated experience in developing and applying predictive method for on- and off-target activity, physicochemical and ADME properties.

  • Demonstrated experience in multi-parameter optimization by designing small molecule targets with synthetic feasibility and foundational understanding of organic chemistry, medicinal chemistry, and DMPK principles.

  • Demonstrated skills in developing and implementing AI-based algorithm and method for compound design.

  • Consistent record of publications, patents, external presentations, and involvement in professional societies.

  • Demonstrated ability to develop new ideas to solve complex problems to move projects forward.

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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