Job Description

This role serves as the Clinical Data Quality Analyst to create an automated, scalable approach for data quality issue identification and remediation for the Scientific Data Aggregation platform. This role would Collaborate with different business groups across Global Development organizations to develop Clinical Data Quality business requirement, rules, testing approach, acceptance criteria, training, and change management plans for data management or data analytic solutions. Must possess hands-on experience with data quality tools (Informatica IDQ, Collibera DQ), programming language (SQL, Python), and AWS cloud platform (S3, Data Lake), Data Lake, Data Warehousing, and analytics information domains.

Description:

• Lead the development and execution of data quality to ensure data accuracy, consistency across Clinical data to improve business efficiency.
• Perform data profiling and validation tasks across multiple clinical data sources to identify data quality issues and anomalies within Clinical data in the pharmaceutical and life sciences industry.
• Collaborate with Clinical business stakeholders to identify attributes that require object data quality and corresponding business rules and contribute to improve Data Quality of Clinical Data platform.
• Prepare & Maintain data quality business rules repository, key metrics and partner with Implementation team to leverage DQ framework to implement these checks in various data pipelines.
• Establish, communicate, and lead the adoption of DQ standards and best practices across the enterprise, influencing peers to adopt programs and projects to achieve efficiencies.
• Serve as a liaison between Global Clinical Development, Implementation, and Technology team to ensure that Scientific data quality related business rules & requirements are clearly defined, communicated, and implemented.
• Prepare processes to identify new trends & patterns on data onboarded on Clinical Data Platform & Report results to business stakeholders.

Additional Skills & Qualifications:

• Bachelor\'s Degree
• 5+ years of experience in Clinical data experience in pharma/biotech or CRO - clinical data quality analytics, preferably in the BioPharma industry.
• 5+ years of Data Lake experience
• Informatica Experience preferred
• 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.

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