Job Description

• This role serves as the Clinical Data Transformation Manager to create an automated, scalable approach for data transformation, automation, and common data model for the Clinical Data platform.
• This position is responsible to lead and preparing data mapping rules to design domain specific logical automated data pipelines, common data model and partner with various functions to drive the implementation.
• This role would Collaborate with different business groups across Global Development organizations to capture, prioritize, develop, and document data transformation and automation requirements, and drive measurable results. Must possess hands-on experience with tools such as Databricks, Dataiku, ETL technology, programming language (SQL, Python), and AWS cloud platform (S3, Data Lake), Data Lake, Data Warehousing, and analytics information domains.

• Collaborate with Global Development business functions to understand business use cases and convert those into transformation, automation, data modelling needs and contribute to evolve Clinical Data platform roadmap.
• Partner with Global Development Solutions, Data Analytics & Science Group, and Enterprise functions (e.g., IT, Privacy etc.) to implement the specifications shaping the development of Scientific data foundations to advance overall data transformation & model activities.
• Work towards preparing Common Data Model mapping & transformations to ensure data is usable in the analytical layer/ and comply with the Governance Committee strategy.
• Develop data ingestion and transformation pipeline to Clean, Transform, and Normalize data to achieve business goals.
• Utilize data mining methodologies to analyze complex clinical datasets. Identify trends, patterns, and correlations within the data to derive meaningful insights and actionable recommendations.
• Create clear and concise visualizations, reports, and dashboards to communicate data-driven insights & Present findings in a compelling manner, tailored to the target audience.

• Have a passion for championing and implementing clinical data platform.
• Enjoy working in an innovative and multi-functional team.
• Have strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Possess Excellent communication, and project management skills.
• To be considered for this role you must have a bachelor's degree in computer science, Data Science, Statistics, or a related field.
• A master's degree or Ph.D. is preferred. Extensive experience (typically 6+ years) within clinical data analytics, preferably in the BioPharma industry.
• Strong knowledge of modern data analytic platforms and technologies, including Big Data, Lakehouse, and modern data ingestion and integration.
• MUST HAVE EXPERIENCE WITH CLINICAL DATA SETS, EDC and non-crf data, and have strong analytical skills with the ability to work with a variety of large and complex datasets including (but not limited to) basic research datasets and clinical data.

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