Specialist, Semantic Data Engineer
MSD (Merck & Co., Inc.) (company site, opens in a new tab)HybridDirect career pageEst. 18–35 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design and implement scalable knowledge graph architectures to integrate various scientific datasets (e.g., omics, process, analytical data) for pharmaceutical R&D.
- Build and manage graph data models representing complex biological and process-related entities to enable advanced analytics and AI/ML-driven discovery.
- Collaborate with platform teams and stakeholders to ensure scalable infrastructure deployment, performance, governance, and cross-functional semantic modeling alignment.
Minimum Requirements
- Expertise with semantic web technologies including RDF and SPARQL.
- Proficiency in AWS serverless services (e.g., Lambda, Step Functions) and data engineering including SQL and ETL development.
- Programming experience in Python and familiarity with DevSecOps practices such as CI/CD, Git, infrastructure-as-code (CloudFormation/Terraform), and Docker containers.
- Work Experience Required: Not explicitly mentioned in the JD; VISA Sponsorship available; Hybrid work arrangement; Travel up to 10%.
Ideal Candidate Profile
- Strong domain knowledge of pharmaceutical research and development, especially familiarity with cheminformatics.
- Experienced in implementing enterprise-grade knowledge graph solutions and integrating multi-modal scientific datasets.
- Comfortable working cross-functionally with scientists, AI/ML teams, and platform engineers to translate business needs into semantic data models using modern graph technologies.