Job Description: Regulatory Affairs Data Analyst (GenAI Focus)
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!
Top Skills
What We Do
ResMed provides medical equipment for treating, diagnosing, and managing sleep-disordered breathing and other respiratory disorders.
