Regulatory Affairs Data Analyst

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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