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 prepare 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

　　Description:

　　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.

　　Additional Skills & Qualifications:

　　Bachelors' Degree

　　5+ years of experience in Clinical data experience in pharma/biotech or CRO - clinical data analytics, preferably in the BioPharma industry.

　　5+ years of Data Lake experience

　　2+ years of Databricks experience

　　Strong knowledge of modern data analytic platforms and technologies, including Big Data, Lakehouse, and modern data ingestion and integration.

　　MUST HAVE EXPERIENCE:

　　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.Experience Level:

　　Expert Level

　　Diversity, Equity & Inclusion

　　At Actalent, diversity and inclusion are a bridge towards the equity and success of our people. DE&I are embedded into our culture through:

　　Hiring diverse talent

　　Maintaining an inclusive environment through persistent self-reflection

　　Building a culture of care, engagement, and recognition with clear outcomes

　　Ensuring growth opportunities for our people

　　Actalent is an equal opportunity employer.

　　About Actalent

　　Actalent connects passion with purpose. We help visionary companies advance their engineering and science initiatives through access to specialized experts that drive scale, innovation, and speed to market. With a network of almost 30,000 engineering and sciences consultants and more than 4,500 clients across the U.S., Canada, Asia, and Europe, Actalent serves many of the Fortune 500. An operating company of Allegis Group, the global leader in talent solutions, Actalent launched as a new specialized engineering and sciences services and workforce solutions brand in 2021.