- As the Data Engineering Specialist at Novo Nordisk, you will be responsible for driving the development and maintenance of various clinical data sources, data review models, etc
- Responsible for developing and maintaining robust scalable ETL (extraction, transformation, load) processes for complex clinical data sources, including electronic health records (EHR), clinical trial databases, and other relevant sources.
- Support the development and implementation of next-generation clinical data infrastructure.
- Design and implement logical clinical data flow to ensure efficient data capture, transformation, and integration.
You will be entrusted with the following responsibilities:
- Responsible for creating value throughout the value chain by enabling real-time analytics of our clinical data, including data from clinical studies, real-world data, multi-omics, images, streaming data, and more Data Quality Assurance and Database Management.
- Provide technical leadership and guidance to junior members of the data engineering team. Stay current with emerging technologies and industry trends related to clinical data management and data engineering.
- Responsible for Data Visualization and Reporting. Collaborate with data analysts and business stakeholders to design and develop data visualizations and reports to support decision-making processes. Utilize data visualization tools and techniques to present complex clinical data in a clear and understandable manner
- Implement data quality assurance processes to identify and resolve issues related to data accuracy, completeness, and consistency.
- Collaborate with teams to agree/negotiate on expectations, deliveries, timelines, etc Lead peers, as we'll as collaborate with a diverse group of people and provide mentoring and guidance.
Qualifications:
- bachelors/ masters degree in software engineering, computer science, data science, mathematics, or natural sciences.
- Minimum 10-12 years of experience with the pharmaceutical industry or CRO or experience in working with clinical data.
- At least 7 years of work experience in either cloud, data engineering, or IT Infrastructure
- Strong technical skills in developing scalable data pipelines.
- Expertise in clinical data standards, either in a real-world data setting, clinical trial data standards, or similar
- Experience & knowledge of some or most of the below-listed technologies/ standards: Data lineage and ontologies, ETL tools, and techniques, such as Informatica, Talend, or Apache NiFi,
- Azure and Databricks , CDISC (SDTM & ADaM), OMOP, DICOM, and similar clinical data standards, Infrastructure as code, object-oriented design, Python / Scala, Security and Authentication, API development (JSON, XML), SQL
- Expertise in project management, collaboration, communication and presentation skills
- Profound Knowledge of GxP and guidelines within drug development.
