Develop and maintain SDTM/CDISC compliant datasets.
Conduct data transformation, validation, and quality control for clinical study data.
Work with clinical coded data (SNOMED CT, MedDRA, WHO-DD) and electronic medical records (EMR) for real-world evidence (RWE) generation.
Provide expertise in terminology management and data mapping across various terminology schemas.
Contribute to data analytics, data management, and data quality initiatives to ensure high-integrity clinical datasets.
Collaborate with software engineers and data teams to integrate data pipelines into our platforms.
Ensure ongoing adherence to GCP, regulatory requirements, and industry best practices.
Explore and contribute to the emerging and appropriate application of AI and ML in NWEH products and services.
Provide statistical and data analytics expertise to internal teams and clients.
Requirements
Strong academic background with a good degree in a relevant field (e.g., Data Science, Biostatistics, Computer Science, Mathematics, Bioinformatics, or a related discipline) or relevant hands-on experience in clinical data science, biostatistics, or statistical programming.
Experience with clinical trial dataset generation and standards.
Understanding of regulatory guidelines for clinical trials.
Proficiency in R, STATA or SAS for data analysis and statistical modelling.
Experience in clinical coding (e.g., SNOMED CT, ICD, MedDRA, WHO-DD).
Knowledge of real-world data (RWD), and EMR/EHR integration.
Strong problem-solving skills and the ability to work independently in a fast-paced environment.
Excellent collaboration skills and experience working in a cross-functional technical team.
Benefits
Flexible office/home-based arrangements are available
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