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Principal Data Engineer (RWE)Veramed · India; India - Remote
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Veramed

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Principal Data Engineer (RWE)

🗓️ Posted 2026-09-21 India; India - Remote Hybrid ICT
💰 Salary Not shared 📊 Market ₹400,000–₹650,000/mo

About the Company

Setting the new standard for biometrics to advance the clinical trial process. Veramed is a Clinical Research Organization (CRO) that provides expert data management, biostatistics and programming services to the pharmaceutical and biotech industry. With precision, consistency and an unwavering commitment to quality, Veramed is dedicated to setting the highest standards for biometrics in clinical trials. Founded in 2012, Veramed has always been guided by quality, integrity and humanity. This means a culture that genuinely cares for its employees, and employees that genuinely care about the work they do, enabling unparalleled collaboration for industry-leading delivery. Veramed's growing team of expert data managers, statisticians and statistical programmers supports analysis and consultancy of Phase I-IV clinical trials across a variety of therapeutic areas. Whether it's long-term partnerships or rapid-fire project work, Veramed works as an extension of clients' teams, driving efficient, dependable outcomes. A truly global CRO, Veramed is headquartered in Twickenham, England, with offices across the UK, Europe, US and India. Veramed is proud to be B Corp Certified , committed to integrity and impact in everything we do. Our vision We exist to set the new standard for biometrics. By making the right decisions - for our employees, for sponsors, and for patients - we're redefining what biometrics can deliver in clinical trials. Hear from our team in our podcast: https://veramed.com/resources/ e-filter-bb11a1e-category podcast Research Services Specialties: Statistical Report Writing, SAP's, CDISC Conversion (mapping + back-mapping to SDTM), Data Management Programming, Ad-hoc Programming Services, Statistical Consultancy, Study Design, PRO, Statistics, SAS Programming, Project Management, Resource Management, Data Management, Statistical Programming, Biostatistics

Responsibilities

  • ● India based role
  • ● Development of data processes for the automated ongoing generation of patient level data (the "data product") to be used by various business stakeholders for a variety of purposes (e.g. dashboards, reports, studies).
  • ● Downstream manipulation of datasets after their onboarding from data vendors/partners from "raw" format as provided into useable data structures that will be used to carry out RWE studies, dashboards & other data outputs
  • ● Transform heterogeneous raw healthcare datasets into reusable data models supporting observational research and epidemiology studies.
  • ● Occasional conversion of bespoke / one-off datasets (e.g. biomarkers, mutations) to OMOP format (including an understanding of what can and cannot be converted to OMOP format, e.g. to allow analysis to be carried out on residual data that cannot be converted to OMOP).
  • ● Build FAIR (Findable, Accessible, Interoperable, Reusable) data pipelines and semantic data engineering frameworks to improve discoverability and interoperability of healthcare data assets.
  • ● Create AI-ready datasets that can support generative AI use cases.
  • ● Communication
  • ● Technical engagement with key stakeholders (e.g. epidemiologist, statisticians, market access/health economists) from outside the RWE programming team to ensure a full and detailed understanding of end-user requirement is created and carefully documented. This includes scoping discussions, business analysis and translation of verbalised end-user needs into actionable data structures
  • ● Detailed technical engagement with colleagues from within the RWE programming team to build data structures required for the generation of RWE study outputs and data products; also support those team members in creating the study outputs where the data engineer's skillset can add incremental value
  • ● Liaison & ongoing interaction with IT department to ensure that raw datasets inbound from data partners are fit for the agreed purposes (as per bullet point 1 above)
  • ● Liaise, where required, with technical staff employed by analysis software vendors (databricks etc)
  • ● Documentation
  • ● Maintain clear documentation of data flows, schemas, pipelines, and processes to facilitate onboarding, troubleshooting and auditing.
  • ● Quality, Validation & Support
  • ● Design and carry out detailed testing (data validation and monitoring) approaches for data structures built by self or other members of team to ensure the accuracy and reliability of the data within the data product
  • ● Troubleshoot any issues encountered with data loading, extraction and transformation (ETL)
  • ● Work in collaboration with three other members of the Data Engineering team, taking on workload from others as and when required
  • ● Required Skills & Qualifications
  • ● Domain Expertise