Data Architect - Digital Data, Large Molecule Research

Company: Sanofi
Location: Cambridge
Posted on: March 16, 2023

Job Description:

Position Title: Data Architect (D igital Data, Large Molecule Research)

About Sanofi:

We are an innovative global healthcare company, driven by one purpose: chasing the miracles of science to improve people's lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions.

Sanofi has recently embarked on a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions to accelerate R&D, manufacturing and commercial performance, and bring better drugs and vaccines to patients faster, to improve health and save lives.

In alignment to our digital transformation, we have launched a new major strategic initiative in 2023: the Biologics x AI Transformation . This is positioned to be a unique data-driven team, with expertise in AI platforms, data engineering, ML operations, data science, computational biology, strategy, and beyond. We are working as one to identify, design, and scale state-of-the-art AI capabilities targeted to truly transform how we research biologics.

Who You Are:

Reporting to the Head of Data Foundation s , you design data architectures and create the technical backbone for all digital and ML products that will be part of our L arge M olecule R esearch digital solution. To successfully accomplish this task, you work in close collaboration with the product line leaders, program managers, engineers, experimental scientists and external partners . You are a valued influencer and hands-on leader who has delivered practical and scalable architecture . You have a keen eye for improvement opportunities and the demonstrated ability to deliver against these opportunities using your broad technology skillset.

Job Highlights:

• Play a leading role in the design and implementation of a new, state of the art, machine learning solution for the screening, design and optimization of drugs based on large molecules.
• Work in close collaboration with Business, several of the platforms and companies we have purchased, Technology and Product stakeholders to contextualize the architecture design
• Verifies the consideration of non-functional requirements as part of the solution architecture
• Designs and produces design documents and solution roadmaps showing the states of transition for the Architecture
  • Leverages the existing Portfolio of digital products, catalog of services and promotes the usage of existing building blocks
  • Defin es and manage s standards, guidelines and processes for analytics solutions and architecture, aligning with the broader architecture council
  • Remains up to date on data & AI industry practices and emerging standards
  • R ecommend emerging technologies for D ata A nalytics tech stack; optimize existing stack
  • Contributes to the prioritization of technology enablers in solution roadmaps
    • Be a champion for high standards to ensure Digital Data S tandards for Processes and Technologies are shared and used.
      
      Key Functional Requirements & Qualifications:
      • Experience with Agile methodologies, supporting and working with cross-functional teams
      • Experience in all phases of a Data lifecycle: c oncept & design, development, implementation, change and operation
        • Demonstrate excellent skills of translating requirements into workable, fit for purpose, technical designs and solutions
        • Advantage for those with knowledge about biological and structure data
        • Have extensive experience in technical solution identification and rationalization
        • Facilitates design and review sessions to define broad solutions with the big picture in mind
        • Ability to understand architectural dependencies of technologies in a vast and complex environment
          • Explore how new technologies can be applied to solve challenging business problems and compile architecture decision records (ADRs)
          • Desires to work in a fast-paced, constantly evolving environment; ability to manage multiple priorities
          • Ability to work independently as well as in a team with a proven ability to influence
          • Structured, planned and traceable approach
          • Integrity and trust unwavering commitment to "doing the right thing"
            • Good communication and facilitation skills
            • Good written and verbal skills in English
            • Pharmaceutical and life science experience is a plus.
              
              Key Technical Requirements & Qualifications:
              • Bachelor s degree in Computer Science, Information Systems, Software Engineering or similar field
              • Strong Experience designing and implementing Enterprise Data & Analytics A rchitectures
              • Strong background in the areas of Data:
                • Integration Services : Informatica Cloud, Airflow
                • Database/ Data Warehouse : AWS RDS, Snowflake , Knowledge of SQL
                  • Data modeling: SQLDBM
                  • BIG Data : Experience with distributed systems (Spark, Hadoop)
                    • Data Governance
                    • Data Security : Experience in working within compliance (e.g.: quality, regulatory - data privacy, GxP, SOX) and cybersecurity requirements is a plus
                    • Large-scale containerized solutions
                    • Data storage technologies (object, structured, and unstructured)
                      • Experience in A gile development processes and DevOps methodology / principals :
                        • C loud-based services (AWS)
                        • Infrastructure as a code ( Terraform )
                          • GIT-based source code management (GitHub) and Continuous Integration and Continuous Delivery (CI/CD) practices (GitHub Actions)
                          • Python, Shell scripting
                          • D ata storage technologies (Object, structured, and unstructured)
                          • A utomating deployment, scaling, and management of containerized applications
                            • Experience in Data Science/cloud-based machine learning platforms is a plus
                            • Knowledge of Informatica CDQ, Master Data Management, and Metadata Management technologies a plus
                              • Advantage for those with experience in the pharmaceutical or biotechnology industries
                              • For more senior roles, mentoring and/or technology evangelism/advocacy experience is a plus.
                                
                                As a healthcare company and a vaccine manufacturer, Sanofi has an important responsibility to protect individual and public health. All US based roles require individuals to be fully vaccinated against COVID-19 as part of your job responsibilities.
                                
                                According to the CDC, an individual is considered to be "fully vaccinated" fourteen (14) days after receiving (a) the second dose of the Moderna or Pfizer vaccine, or (b) the single dose of the J&J vaccine. Fully vaccinated, for new Sanofi employees, is to be fully vaccinated 14 DAYS PRIOR TO START DATE.
                                
                                Sa nofi 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.
                                
                                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.
                                
                                

Keywords: Sanofi, Cambridge , Data Architect - Digital Data, Large Molecule Research, Other , Cambridge, Massachusetts