
501 - 1000 employees
Founded 2012
🏥 Healthcare
💊 Pharmaceuticals
🧬 Biotechnology
Healthcare • Pharmaceuticals • Biotechnology
Veramed is a biometrics-focused contract research organization (CRO) that provides data management, biostatistics, programming, evidence & value generation, and standards/AI services to pharmaceutical and biotechnology clients. The company offers end-to-end biometrics support, Functional Service Provider (FSP) and project-based delivery models, regulatory submission-ready data, advanced automation and AI (Veramed. ai), CDISC compliance, and data visualization to minimize submission issues and audit findings. Veramed positions itself as a trusted partner for biotech and pharma, emphasizing operational governance, scalability, and a people-first culture.
🕒 September 21
Where this job comes from
Posted on Veramed's careers page, not through a job board
First seen by Remote Rocketship September 21

501 - 1000 employees
Founded 2012
🏥 Healthcare
💊 Pharmaceuticals
🧬 Biotechnology
Healthcare • Pharmaceuticals • Biotechnology
Veramed is a biometrics-focused contract research organization (CRO) that provides data management, biostatistics, programming, evidence & value generation, and standards/AI services to pharmaceutical and biotechnology clients. The company offers end-to-end biometrics support, Functional Service Provider (FSP) and project-based delivery models, regulatory submission-ready data, advanced automation and AI (Veramed. ai), CDISC compliance, and data visualization to minimize submission issues and audit findings. Veramed positions itself as a trusted partner for biotech and pharma, emphasizing operational governance, scalability, and a people-first culture.
• Develop data processes for automated ongoing generation of patient-level data products for dashboards, reports, and studies • Manipulate datasets onboarded from data vendors and partners into usable data structures for RWE studies, dashboards, and other outputs • Transform heterogeneous raw healthcare datasets into reusable data models supporting observational research and epidemiology studies • Convert bespoke datasets such as biomarkers and mutations to OMOP format where appropriate • Build FAIR data pipelines and semantic data engineering frameworks to improve healthcare data discoverability and interoperability • Create AI-ready datasets supporting generative AI use cases • Engage with epidemiologists, statisticians, market access and health economists to understand, document, and translate requirements into actionable data structures • Collaborate with the RWE programming team to build data structures for RWE study outputs and data products • Support team members in creating study outputs where data engineering skills add value • Liaise with IT to ensure inbound partner datasets are fit for agreed purposes • Liaise with technical staff from analysis software vendors such as Databricks • Maintain documentation of data flows, schemas, pipelines, and processes for onboarding, troubleshooting, and auditing • Design and perform data validation and monitoring to ensure data product accuracy and reliability • Troubleshoot data loading, extraction, and transformation (ETL) issues • Collaborate with three other Data Engineering team members and take on workload as required
• India based role • Strong understanding of Real World Data (RWD) / Real World Evidence (RWE) concepts • Ability to assess business requirements and recommend appropriate real-world healthcare datasets for analytical use cases • Deep understanding of healthcare data models and healthcare data ecosystems • Strong expertise in OMOP CDM v5.4 and v6, including extensions • Knowledge of SNOMED CT, RxNorm, ICD-10, LOINC, and HCPCS/CPT • Minimum 8+ years of hands-on experience building scalable ETL/ELT pipelines • Expertise in Databricks, PySpark, Spark SQL, SQL, and Delta Lake • Experience working with large-scale healthcare and patient-level datasets • Strong understanding of Semantic Data Engineering principles • Experience building FAIR-compliant data pipelines • Experience with cloud-based data platforms and distributed processing frameworks • Strong Power BI development and data modelling skills • Ability to create reusable analytical datasets for dashboards and studies • Experience designing AI-ready datasets and analytics data products • Experience implementing automated data quality frameworks • Strong data profiling, validation, and monitoring skills • Understanding of healthcare data quality assessment methodologies • Excellent stakeholder management and communication skills • Ability to translate complex business requirements into technical solutions • Experience working with cross-functional global teams • Exposure to one or more of: Oncology, Respiratory, Immunology & Inflamation, Infectious Diseases • Working knowledge of R programming, experience with sparklyR, R Shiny, observational research methodologies, OHDSI tools, or Azure Data Platform services are nice-to-have skills
• Equal opportunities employer • Diverse and inclusive working environment • Working culture founded on integrity, honesty, and respect • Veramed is a B Corp accredited company committed to social and environmental performance, transparency, and accountability
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