Lead Data Engineer – GenAI, LLM Applications

🕒 April 29

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Clario

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1973

⚕️ Healthcare Insurance

🧬 Biotechnology

🤖 Artificial Intelligence

💰 Private Equity Round on 2019-10

Healthcare Insurance • Biotechnology • Artificial Intelligence

Clario is a company specializing in accelerating clinical trials from initiation to implementation through advanced technologies and services. Since 2018, Clario has revolutionized endpoint analyses in clinical trials by integrating over 30 artificial intelligence-enabled solutions across more than 600 active trials, enhancing data quality and patient privacy while expediting data collection processes. Clario provides a comprehensive clinical trial management platform, offering solutions such as eCOA, cardiac safety, medical imaging, precision motion, and respiratory services in various therapeutic areas including oncology, cardiology, and neurology. Known for its global reach, Clario supports clinical trials in over 100 countries with a strong focus on decentralized and hybrid trial models. The company's commitment to patient safety and innovation is reflected in their over 26,000 trials and involvement in numerous new drug approvals.

📋 Description

• Design, develop, and maintain scalable software architectures and data pipelines that integrate with analytical and operational systems. • Write clean, reusable, and well‑tested Python code using frameworks such as Flask and related libraries. • Leverage AI‑assisted development tools, including GitHub Copilot and LangChain, to design, build, and integrate LLM‑powered solutions such as retrieval‑augmented generation (RAG) pipelines, intelligent agents, and automated workflows using AWS Bedrock or similar services. • Develop and optimize complex SQL across Oracle, MS SQL Server, PostgreSQL, and Snowflake, including procedures, functions, views, analytical functions, and dynamic SQL. • Design and implement ETL pipelines using Snowflake and related data processing technologies. • Implement scheduling and orchestration using Apache Airflow or similar workflow orchestration frameworks. • Establish and maintain data quality frameworks, versioning, and governance practices to ensure data reliability, integrity, and compliance. • Troubleshoot production issues and drive continuous improvement in software quality, performance, and reliability. • Deploy, manage, and support solutions on AWS, including storage, compute, and pipeline services. • Create source‑to‑target mappings and support data and code migration initiatives. • Partner with stakeholders to gather requirements, translate business needs into technical solutions, and produce clear, well‑structured documentation. • Collaborate with product managers, analysts, and cross‑functional teams to deliver data‑driven insights and reporting using tools such as Plotly and Power BI.

🎯 Requirements

• Bachelor’s or higher degree in Computer Science, Information Technology, or a related technical field. • 5+ years of professional experience in software engineering, data engineering, or data‑focused development roles. • Strong proficiency in Python, including frameworks and libraries such as Django or Flask, pandas, NumPy, Plotly, and ag‑Grid. • Strong SQL expertise with Oracle, MS SQL Server, PostgreSQL, and/or Snowflake. • Proven experience writing complex SQL, including analytical and window functions, subqueries, all join types, DML/DDL/TCL statements, CASE expressions, and performance tuning. • Working knowledge of cloud platforms, with a preference for AWS (S3, EC2, Secrets Manager, Bedrock, Lambda). • Experience using AI‑assisted development tools and frameworks such as GitHub Copilot and LangChain for building LLM‑powered applications and workflows. • Experience with Git‑based version control systems and CI/CD pipelines. • Familiarity with data modeling concepts for both structured and unstructured data. • Strong analytical thinking, problem‑solving abilities, and communication skills. • Willingness to work across all phases of the SDLC, including requirements gathering, design, development, deployment, and production support. • Preferred experience includes exposure to the clinical trial lifecycle or clinical data management, data visualization tools (Plotly, Power BI), front‑end technologies (HTML5, CSS3, JavaScript), collaboration tools (Jira, Confluence, Microsoft Teams), and hands‑on data analysis or data cleansing using programming languages, SQL, and Excel.

🏖️ Benefits

• Competitive compensation aligned with local market practices • Comprehensive health and wellness benefits • Paid time off and company holidays • Opportunities for professional development, learning, and career growth • The flexibility of working from Bangalore or remotely within India, while collaborating with global teams