Location:
Bangalore Work Model: Hybrid — 3 days in office About Elucidata Elucidata is an AI Solutions Tech Data-centric AI company on a mission to make life sciences AI-ready. Headquartered in San Francisco with a 120+ member team across the US and India, we’re building the future of data-centric AI for drug discovery. Our flagship AI-Agentic powered platform, Polly, helps research teams wrangle, harmonize, and analyze massive volumes of biomedical data, accelerating discoveries and making precision medicine a reality. Recognized by Fast Company as the “Most Creative Biotech Company of 2024,” Elucidata partners with 25+ leading organizations, including Pfizer, Novo Nordisk, Google DeepMind, Alnylam Therapeutics, and the Bill & Melinda Gates Research Institute. Backed by top VCs like Eight Roads, F-Prime, IvyCap, and Hyperplane. With over 200 data products and AI solutions co-developed by 100+ domain experts, we’ve helped our partners achieve 4X faster R&D; milestones and contribute to 16 therapies advancing toward FDA approval. At Elucidata, you’ll work at the intersection of AI, biology and impact while solving real-world challenges that accelerate the journey from data to discovery.

About the Role
We are looking for an experienced, hands-on Tech Lead to drive the design and development of scalable data engineering systems and biomedical knowledge graph infrastructure. In this role, you will own the technical architecture and execution of data ingestion, processing, and integration pipelines that power our AI/ML-driven solutions for biomedical research and drug discovery. You will work closely with ML scientists, bioinformaticians, and product teams to build reliable,



production-grade systems while driving engineering best practices, mentoring developers, and making critical architectural decisions. What You’ll Own
• Lead the architecture, design, and development of scalable data engineering systems for ingesting, processing, harmonizing, and integrating biomedical and clinical data from diverse sources.
• Own the development and evolution of biomedical knowledge graph infrastructure, including graph data modeling, entity and relationship management, ontology integration, and efficient data retrieval.
• Design and implement robust data pipelines for processing large volumes of structured and unstructured data, including scientific literature, clinical trial records, and multi-omics datasets.
• Build and maintain production-grade backend services and APIs that enable efficient access to biomedical knowledge graphs and support downstream AI/ML applications.
• Establish engineering best practices for data quality, provenance, reliability, monitoring, testing, and performance optimization across data processing workflows.
• Drive technical execution end-to-end, make architectural decisions, conduct code reviews, mentor engineers, and collaborate closely with AI/ML scientists, bioinformaticians, and product teams. What Makes You a Great Fit




• Strong hands-on experience in software and data engineering, with excellent Python programming skills and a demonstrated ability to design and build scalable, production-grade systems.
• Deep understanding of knowledge graph technologies, including graph data modeling, graph databases such as Neo4j, graph query languages, and API technologies such as GraphQL.
• Experience architecting and developing large-scale data ingestion, ETL/ELT, and processing pipelines, including workflow orchestration, distributed processing, and handling heterogeneous data sources.
• Strong proficiency with cloud infrastructure and engineering tools, particularly AWS, Docker, relational/NoSQL databases, and modern data engineering frameworks.
• Experience working with biomedical or healthcare data, including scientific literature, clinical trials, EHR/EMR data, or biological ontologies. Familiarity with clinical data standards such as OMOP CDM and clinical data transformation pipelines would be a significant advantage.
• Proven ability to independently own technical architecture, solve complex engineering problems, make sound design trade-offs, and mentor developers while maintaining high engineering standards. Why Join Elucidata?
• Opportunity to shape the future of biomedical data ecosystems by building partnerships at the frontier of science and healthcare.
• Direct visibility with the CEO and leadership team.
• High-impact role — the partnerships you establish will directly translate into Elucidata’s growth and customer success.
• Work with global leaders and contribute to data-driven drug discovery.

📌 Tech Lead – Biomedical Data Engineering (Bengaluru)
🏢 Elucidata
📍 Bengaluru