Teamlead Data Science overseeing strategic AI initiatives for business impact at leading Austrian corporation. Responsible for team development and end - to - end data solutions.
About the role
- Clinical Data Scientist managing clinical trial and healthcare data at NWEH. Collaborating with the Technical Team to deliver validated data solutions and ensure data quality in clinical studies.
Responsibilities
- 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
- Flexible working hours
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