Sanofi EU

Collaborate with scientific and business and information technology leadership to influence the Data strategy and direction.. Lead technology execution of data engineering required to transform, harmonize data required for AI/analytics and build-out of re-useable aggregated data sets and APIs. Leverage knowledge of data architecture to enhance data pipeline effectiveness.. Comfortable working in cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark, Snowflake?). Excellent written and verbal communication, business analysis, data visualization and data storytelling skills.. Expertise with core data science languages (such as Python, R, Scala), and proficiency with key database systems (e.g. SQL, NoSQL).

data engineering

Job Title: Head of R & D Data Engineering Location: Bridgewater, NJ or Cambridge, MA About the Job At Sanofi, we’re committed to providing the next-gen healthcare that patients and customers need. It’s about harnessing data insights and leveraging AI responsibly to search deeper and solve sooner than ever before. Join as Head of R&D Data Engineering and you can help make it happen. Your job? Build products that will be deployed globally on a leading-edge tech stack. Work with renowned, published leaders and academics in machine learning to further develop your skillsets. We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people's lives. We're also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started? Main Responsibilities: Lead a team of data and software engineers to plan, design, execute and continuously improve Sanofi’s ambitions in R&D data products. Collaborate with scientific and business and information technology leadership to influence the Data strategy and direction. Present technical concepts to non-technical stakeholders. Strategically plan and execute data engineering initiatives, including the development of data pipelines. Design a comprehensive data engineering roadmap and execute the vision behind it. Lead technology execution of data engineering required to transform, harmonize data required for AI/analytics and build-out of re-useable aggregated data sets and APIs. Leverage knowledge of data architecture to enhance data pipeline effectiveness. Play a pivotal role in defining data engineering standards, driving innovation, and ensuring consistency across projects, adopting a Center of Excellence style approach. Build and manage talent of a team of engineers across multiple geographies to apply to data product teams including establishing a scalable approach to manage scale flexibly across internal resources, technology hubs and external service providers Address challenges related to data harmonization, normalization, and feature extraction. Adhere to regulatory guidelines (e.g., HIPAA, GxP, GDPR) in handling sensitive data and implement robust data security measures. About You: BS in computer science, software engineering or related area with at least 10+ years of experience in working on the development of data pipelines and data products. Demonstrated ability to lead a team of data engineers in product based operating model in collaboration with digital product owners to plan and execute large scale data projects, with proficiency in data modeling. Demonstrated knowledge of data consumption patterns, with a focus on Business Intelligence/Machine Learning/similar methods that rely on well-organized data. Understanding of software development methodology lifecycle practices and documentation including GxP compliance policies and procedures. Comfortable working in cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark, Snowflake?). Excellent written and verbal communication, business analysis, data visualization and data storytelling skills. Experience in leading a team focused on the organization, storage, retrieval and initial processing of high throughput large biological and clinical data. Expertise with core data science languages (such as Python, R, Scala), and proficiency with key database systems (e.g. SQL, NoSQL). 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. #GD-SA
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