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Strong employer brand, Hyderabad metro location, and broad cross-discipline RWD and AI skill requirements increase competition.
Requires niche real-world healthcare data, OMOP and regulatory expertise, limiting cross-industry transferability.
Explicit 8+ years, mandatory RWD healthcare experience, OMOP/CDM, cloud and compliance requirements make shortlisting highly strict.
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Design, develop, deploy, and maintain production-ready full-stack applications and data pipelines enabling enterprise-scale real-world data usability across scientific and commercial teams.
Build and embed AI and machine learning capabilities into data products, ensuring data quality, security compliance, and automated, self-service tooling to optimize processes.
Provide technical leadership by setting architecture standards, mentoring team members, engaging with global cross-functional teams and external vendors to deliver data and AI-driven solutions.
Bachelor's or Master's degree in Computer Science, Engineering, Health Informatics, Biostatistics, Epidemiology or related quantitative field.
8+ years hands-on application development and data engineering experience; minimum 3 years in real-world data or healthcare data solutions within biopharma, payer, provider, or health tech.
Strong programming skills in Python and SQL; experience with cloud (preferably AWS), modern application stacks, CI/CD pipelines, and distributed data platforms like Databricks or Snowflake.
Hands-on expertise with real-world data sources (EHR, claims, registries), healthcare data standards (OMOP CDM, FHIR, vocabularies), and regulatory compliance (FDA RWE, GxP, HIPAA, GDPR).
Technically autonomous senior individual contributor combining deep real-world data domain expertise with advanced data engineering and AI integration skills.
Experienced in operating distributed global teams and collaborating closely with scientific, commercial, and regulatory stakeholders in an Agile environment.
Strong strategic mindset favoring scalable, reusable data architectures, automation, and pragmatic AI application aligned with scientific and business goals.