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About the role
About CloudLabs: CloudLabs Inc was founded in 2014 with the mission to provide exceptional IT & Business consulting services at a competitive price, to help clients realize the best value from their investments. Within a short span, CloudLabs evolved from pure-play consulting into a transformative partner for Business Acceleration Advisory, Transformative Application Development & Managed Services - enabling digital transformations, M&A transitions, Automation & Process-driven optimizations & complex Integration initiatives for enterprises across the globe. As a Strategic Planning & Implementation Partner for global companies, CloudLabs has seen a 200% uptake in winning high-value, high-impact and high-risk projects that are critical for the business. With offices in the US, Canada, Australia & India and with the team of 250+ experienced specialists, CloudLabs is now at an inflection point and ready for its next curve of progress. Please write & follow us here: Website: cloudlabsit.com LinkedIn: CloudLabs Inc Email us : [HIDDEN TEXT] What we offer: We welcome candidates rejoining the workforce after career break/parental leave and support their journey to reacclimatize too corporate. Flexible remote work. Competitive pay package. Attractive policy, medical insurance benefits, industry leading training. Opportunity to work remotely is available. Experience Required: Minimum 5+ years of Experience Job Location : India Job Type: Remote Key Responsibilities: Pipeline Development: Build and automate end-to-end data pipelines using Python and Snowflake (including Snowpark and Streams/Tasks) to ingest diverse clinical trial data feeds. Clinical Data Modeling: Design scalable data models in Snowflake that support complex R&D queries, ensuring alignment with industry standards (like CDISC SDTM/ADaM). Data Science Support: Partner closely with R&D data scientists to prepare, clean, and optimize features for machine learning and statistical modeling. Compliance & Security: Maintain strict data governance, ensuring all pipelines comply with HIPAA, GxP, and clinical trial data privacy regulations. Required Qualifications: Core Tech Stack: 5+ years of experience with Snowflake (advanced SQL, performance optimization) and Python (pandas and API integrations). Clinical Domain Expertise: Deep understanding of clinical trial data structures, electronic data capture (EDC) systems, or clinical data management systems (CDMS). Data Engineering Skills: Proven experience with orchestration tools and building robust error-handling into data pipelines. Bonus: Familiarity with Snowpark Python or standard data schemas like CDISC.
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