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!