Antigen Design Data Strategy Lead - Vaccines

Job title: Antigen Design Data Strategy Lead - Vaccines

Location: Waltham, MA

About the Job

This position fills a critical role for the Global Antigen Design (GAD) group in the Sanofi Vaccines Research and Development organization. The role will be responsible for designing and maintaining state-of-the-art data infrastructures that can power effective data-driven decision making. This will require developing comprehensive data strategies to ensure the integrity, quality, visibility, and usability of GAD's data and systems. This person will ensure robust and accessible database solutions by harmonizing integrated and user-friendly data architecture with scientific data generated across existing and new vaccine projects. Ultimately, this role will provide a unified resource of validated data that can be accessible to, and shared across, the broader R&D community at Sanofi.

Working closely with the global antigen design (GAD) teams on ongoing and future vaccine projects, this role will lead in the collection, annotation, and organization of internal data from different sources and labs that encompass conception, hypotheses, execution, results, and interpretation. This will ultimately enable the creation of “ID cards” for all vaccine antigens investigated in the group, with the goal of making these available for maximum visibility, alignment, and decision-making with other groups in the organization, and across the whole development cycle of a vaccine candidate (from pre-clinical to development and clinical studies). This role reports directly to the Global Head of Computational Antigen Design (CAD).

We are an innovative global healthcare company that helps the world stay ahead of infectious diseases by delivering more than 500 million vaccine doses a year. Across different countries, our talented teams are exploring new technologies to protect people and promote healthy communities. We chase the miracles of science every single day, pursuing progress to make a real impact on millions of patients around the world.

Main Responsibilities:

Building data solutions (70%)

• Collaborate with function and platform heads to determine data storage and organizational needs 

• Define data infrastructure for GAD, design robust data models to support Sanofi Vaccines R&D operations

• Create visual layouts to display data

• Implement data governance and security measures

• Develop strategies for database growth and scalability

• Collaborate with global transversal operation and digital teams to integrate new technologies

• Maintain integrity and accessibility of company data

• Integrate data from different (internal and external) sources (Benchling ELN, PDB, UNIPROT, etc)

• Identifying areas for improvement in current systems

• Coordinating with other team members to reach project milestones and deadlines

• Auditing database regularly to maintain quality

• Ensure data security

• Identify internal and external data sources 

Communication (20%)

• Publishing and/or presenting design reports

• Ensures regular communication: definition of the needs, harmonization of methods, efficient transfer of assets

• Acts as a catalyzer to promote visibility on technological aspects 

• Keeps up to date with aspects related to data solutions

• Ensures efficient reporting of activities

Training (10%)

• Train scientists and colleagues in the use of data 

About You

• Earned PhD in data science, information systems, computer science, computer engineering, or closely related discipline

• 5+ years required (8+ years preferred) of experience in data architectures in the life science/drug discovery field or industry

• Skills: 

  • Deep understanding of how to structure and manage vast amounts of information, not just for current needs but also with an eye toward future requirements

  • Experience in LIMS (e.g. Benchling), data warehouse (e.g. Snowflakes) and SQL 

  • Advanced knowledge in data modeling techniques

  • Proficiency with big data technologies

  • Familiarity with cloud services platforms

  • Strong analytical skills to align technical solutions with business goals

  • Ability to oversee large-scale database architectures

  • Experience in setting up data policies and governance framework within pharmaceutical environments 

• A strong passion for empirical research and for answering ha