Data Engineer E2E Trial Management - Pharma R&D
Roche (company site, opens in a new tab)PuneOn-siteDirect career pageEst. 20–32 LPA
Posted on 25 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design, development, and maintenance of scalable, robust data pipelines and infrastructure for Pharma R&D clinical trial data.
- Build and optimize ETL/ELT processes and data storage solutions (warehouses, lakes) ensuring data quality, reliability, and performance.
- Collaborate closely with data scientists and clinical business stakeholders to translate requirements into technical data solutions and communicate effectively across teams.
Minimum Requirements
- Experience in building and optimizing complex large-scale data engineering systems with big data technologies like Spark.
- Proficiency in programming with Python or Scala and expert-level SQL skills.
- Clinical domain knowledge specifically in Clinical Trial Execution processes and systems (CTMS, EDC, IxRS).
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Deep expertise in clinical trial operational data systems and data product lifecycle management with compliance (GxP standards).
- Experience with advanced data architectures such as Data Mesh, semantic modeling, knowledge graphs, and AI/LLM infrastructure including RAG pipelines and relevant frameworks (LangChain, AutoGen).
- Proven ability to work in product-led agile environments translating clinical operations needs into scalable data engineering solutions and communicating AI readiness to non-technical stakeholders.