Major Accountabilities (Describe the 5-7 main results of the role to be achieved)

· Collaborate with data engineers, data scientists and other stakeholders to assess the feasibility of data requests based on key scientific questions and fulfil use-case specific data needs.

· Identify the relevant Clinical Data domains and variables based on use-case requirements and guide their interpretation and transformation—with an emphasis on pooling ADaM data across historical trials.

· Perform hands on activities to conduct data quality assessments to validate data prior to delivery.

· Share knowledge across the team on clinical trial data, transformation logic, and mapping strategies.

· Contribute to documentation to promote transparency in data transformation processes.

· Seek opportunities for continuous improvement.

Essential Requirements:

· 3-5 years of experience working with Clinical Trial data in a pharmaceutical or CRO setting (ideally within Neuroscience, Oncology, CRM or Immunology therapeutic areas). · Excellent knowledge of CDISC data standards (SDTM, ADaM) and familiarity with relevant data dictionaries (eg: MedDRA).

· Expertise in pooling Clinical Trial ADaM datasets.

· Experience in working with different legacy, historical, local data standards.

· Experience in working with clinical study documents (Protocol, CSR, etc.).

· Hands-on experience writing code for data transformations (eg: SQL, Python, R, etc.).

· Experience with SAS and PROC SQL.

· Have an analytical mindset and attention to detail.

· Ability to assess data quality, identify errors and inconsistencies.

· Demonstrated ability to work independently and as part of global Agile teams.

· Fluent in English (oral and written) with good communication skills.

Nice to have:

- Exposure to or interest in GenAI.