Data Engineer
4 weeks ago
Servier in the U.S. is a Boston-based, commercial-stage biopharmaceutical company launched by Servier Group in 2018. As a privately held organization, Servier is uniquely positioned to advance cutting-edge science, tackle underserved therapeutic areas, and make patients the focus of every strategic decision.
Role Summary
At Servier Pharmaceuticals, we believe that data is an asset. This Boston-based role is a great opportunity for an individual contributor having expertise within the Google Cloud Platform advanced data and analytics services, balanced with business skills to support US-based research and clinical functions. Stakeholders include data scientists, statisticians, and other data consumers. The goal of this position will be to build, manage, and optimize data processes in Servier's Data Platform that is built on GCP to accelerate business decisions. The GCP Data Engineer reports directly to the Associate Director of Data & Analytics, while working closely with a local IT business partner and the French-based Global Servier Digital Data and Information Systems (DDIS) Data Factory Team.
Key Responsibilities
Lead small-to-mid-size projects to scope, design, and implement for US-based needs, in collaboration with the global Data Platform team.
Gather local requirements and document to facilitate implementation of requested changes or propose new solutions.
Leverage hands-on technical skills to translate requirements to solutions on a technical stack that includes Google Cloud Platform (GCP), BigQuery, vertexAI, Python, nextflow, Posit RStudio, Terraform, Argo, docker, GitHub, SAS.
Maintain the data ecosystem in an optimal operational state following established standard and processes, with a mindset of continuous improvement.
Ensure security, privacy, and compliance of data and processes in a highly regulated environment (e.g., clinical and patient data).
Requirements
Must have 5+ years of experience, with 3+ years of experience in cloud data platforms and advanced analytics.
Must have proven experience with Google Cloud Data Platform.
Strong listening and communication skills, ability to work in a global environment.
Solution-oriented critical thinker, agile mindset.
Preferred Qualifications
Bachelor's in Computer Science, Data Science, Math, or related discipline.
Preference for cloud certifications, especially Google Cloud Certifications.
Preference for pharmaceutical industry experience.
Preference for technical experience with some of the following: SQL, R, Python, SAS programming, Linux, Kubernetes.
Work Environment
Located in the Boston area, reporting to the Seaport office 2-3 days per week. 10-15% travel required.
Servier's Commitment
Servier is committed to modeling diversity, equity, and inclusion within the industry. We are dedicated to fostering an environment that maintains equitable treatment for all and we welcome applicants who are passionate, committed, and innovative individuals. We encourage candidates to apply to our open roles as we are always willing to consider experiences and skills beyond what is listed in the job description.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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