Clinical Data Curator Specialist

• Data Inventory and Organization: Maintain a comprehensive inventory of clinical data sets to ensure clear structure and long-term usability. Implement best practices for data organization and governance.
• Collaborative Problem Solving: Work closely with data scientists to understand data requirement and quality standards, collaborate with digital to enhance and optimize the data pipelines and integration processes.
• Data Extraction and Curation: Extract, curate, and prepare clinical data sets to ensure they are fit for purpose and adhere to data governance standards. Enhance data quality for use in advanced analytics.
• AI/Machine Learning: Hands on experience in Machine Learning and its application in clinical trials to derive meaningful insights from data.
• Risk Based Quality Assurance: Implement and continuously improve a risk-based quality assurance process. Ensure proper documentation of datasets used for analysis to safeguard data integrity and ensure reliable results.
• Develop code/workflows and optimize existing ones: Leverage domain expertise and technical knowledge to continually enhance existing code and develop new one as per changing requirements

• At least 5 years’ experience in a Clinical Research environment (CRO or Pharma).
• In depth knowledge of clinical data programming using SAS - Base, Macros, SQL/ Python/R and experienced in handling data from multiple data sources.
• Learns and adapt quickly when facing new problems.
• Think critically and use rigorous, objective and pragmatic methods to solve multidimensional problems with effective and timely solutions.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Proficiency in programming languages (either SQL, Python, Advance SAS or R).
• Hands on experience in data wrangling, data extraction and manipulation from diverse input data sources using advance SQL concepts.
• In depth knowledge of optimising queries and joins to efficiently process large datasets of varying degree of complexity.
• Familiarity with machine learning (using Python packages) and their application in clinical trial
• In depth understanding of clinical trial related documents and clinical knowledge, e.g., Protocol, SDS, CRF and the ability to churn both structured and unstructured data to generate meaningful output.
• Strong analytical skills with an attention to detail.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
• Bachelor’s degree or above, preferably in a life science or mathematics-related area (e.g., computer sciences)
• Strong English skills (verbal and written), ability to exchange fluently in a global environment.

A professional certification will be a nice to have.

• high-quality healthcare
• prevention and wellness programs
• at least 14 weeks’ gender-neutral parental leave
• an international work environment