Regulatory Affairs Data Analyst (GenAI Focus) job opportunity at Resmed.

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DateMore Than 30 Days Ago bot
Resmed Regulatory Affairs Data Analyst (GenAI Focus)
Experience: 4-years
Pattern: full-time
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loacation Bangalore, India, India
loacation Bangalore, Ind..........India

Job Description: Regulatory Affairs Data Analyst (GenAI Focus) About the Role We are seeking a Regulatory Affairs Data Analyst with a strong analytics background and a passion for emerging technologies to join our global Regulatory Affairs team. This role blends data analytics, enterprise document intelligence, and generative AI, with a focus on enhancing regulatory processes through innovation. You’ll work across regulatory and technical teams to build Custom GPTs, evaluate AI-powered tools, and automate workflows around enterprise content and data systems. This role is ideal for someone who is technically hands-on, curious about AI applications in a regulated environment, and experienced in working with enterprise platforms such as document management systems (e.g., Objective) and data lakes (e.g., Snowflake). Key Responsibilities - Analyze regulatory content and structured data to extract insights, identify trends, and enable intelligent decision-making. - Collaborate with cross-functional teams to define and implement Custom GPTs tailored for use cases like document summarization, classification, and search within regulatory frameworks. - Evaluate and benchmark GenAI and NLP tools for enterprise document processing and regulatory intelligence. - Work with enterprise document management systems (e.g., Objective, Veeva Vault, or Documentum) to access, process, and structure unstructured content. - Leverage enterprise data lakes (e.g., Snowflake) to query and transform large volumes of regulatory and operational data. - Build automated workflows using Airflow and optimize data pipelines for efficiency and reliability. - Support model evaluation through metrics, prompt tuning, and human-in-the-loop feedback systems to ensure accuracy and compliance. - Create dashboards and visualizations (Power BI or similar) to present data-driven insights to regulatory stakeholders. Ideal Candidate Profile - Masters in Data science /Data Analytics / Artificial Intelligence . - 2–4 years of experience in data analysis, regulatory analytics, or operations analytics. - Proficiency in SQL and Python for data manipulation, automation, and prototyping. - Exposure to Generative AI tools, LLMs, or prompt engineering. - Experience working with enterprise document management systems (e.g., Objective, Veeva, OpenText) to extract or manage regulatory documents. - Familiarity with enterprise data lake platforms like Snowflake, including writing performant queries and managing structured datasets. - Strong attention to detail, critical thinking skills, and ability to work independently in a regulated environment. - Bonus: Experience with LLM evaluation techniques, dealing with regulatory-specific data (e.g., submissions, labeling, health authority feedback). What You’ll Gain - Opportunity to work on GenAI-first projects in the regulatory space, shaping how cutting-edge AI is applied to global compliance challenges. - Hands-on experience with enterprise-grade AI tools, data platforms, and content systems. - A collaborative, curious team environment focused on innovation, precision, and impact. - Career growth in the rapidly expanding intersection of regulatory intelligence, AI, and data engineering. Joining us is more than saying “yes” to making the world a healthier place. It’s discovering a career that’s challenging, supportive and inspiring. Where a culture driven by excellence helps you not only meet your goals, but also create new ones. We focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace and thrive on the innovative ideas this generates. If this sounds like the workplace for you, apply now!

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