Associate Software Engineer - Pharmaceutical Labeling

Associate Software Engineer

This position plays a pivotal role in designing and building scalable, high-performance software solutions for regulatory labeling systems that align with global pharmaceutical compliance standards.

automated content authoring

Key Responsibilities:

• Design, develop, and maintain scalable front-end and back-end systems for GenAI-driven content authoring and regulatory data management.
• Build and integrate APIs and services that support structured content creation, storage, and presentation.
• Develop user interfaces using

  React

  and backend services using

  Python

  , with potential exposure to

  Java

  or

  Node.js

  as applicable.
• Deploy and manage infrastructure using

  Infrastructure-as-Code (IaC)

  tools for services on

  AWS

  (e.g., Lambda, ECS, RDS, S3, DynamoDB).
• Participate in system design, code reviews, and cross-functional technical discussions.
• Monitor system performance, handle bugs, implement enhancements, and contribute to system scalability and resilience.
• Maintain clear, structured technical documentation and deployment records.
• Stay informed of emerging technologies, best practices in GenAI, cloud development, and pharmaceutical regulatory tech.
• Collaborate with global, cross-functional teams including Product, Regulatory Affairs, and Business Strategy.

Basic Qualifications:

• Bachelor's degree

  and

  03 years

  of experience in Computer Science, IT, or a related field; OR

• Diploma

  and

  47 years

  of relevant experience.

Must-Have Technical Skills:

• Experience with at least one backend programming language (e.g.,

  Python

  ,

  Java

  ,

  Node.js

  ) and one frontend framework (

  React

  ,

  Angular

  , etc.).
• Working knowledge of

  SQL

  or

  NoSQL

  databases and data integration.
• Familiarity with

  RESTful APIs

  , data modeling, and mapping data to ontologies or dictionaries.
• Exposure to

  Agile development

  ,

  Jira

  , and team collaboration tools.
• Ability to write clean, maintainable, and testable code with focus on software quality and reusability.

Good-to-Have Skills:

• Experience with

  GenAI

  content generation platforms (e.g., OpenAI, Hugging Face, LangChain).
• Familiarity with

  CI/CD pipelines

  , version control (

  Git

  ), and automated testing frameworks.
• Experience managing cloud infrastructure and deployments using

  Terraform

  ,

  CloudFormation

  , or similar.
• Understanding of

  pharmaceutical regulatory standards

  (e.g., eCTD, ICH M4, USPI) and structured labeling.

Soft Skills & Attributes:

• Strong analytical and debugging capabilities.
• Clear and effective written and verbal communication.
• Highly collaborative and able to thrive in virtual, cross-functional teams.
• Self-motivated with strong organizational and multitasking abilities.
• Team-oriented mindset with a focus on innovation and continuous improvement.
• Confidence in public speaking and presenting technical solutions.

What We Offer:

• Exposure to advanced

  AI-driven digital transformation

  in a global pharmaceutical setting.
• Opportunity to work on

  enterprise-grade cloud-native platforms

  with real-world impact.
• Mentorship and learning pathways to grow within software engineering and AI development.
• Competitive salary, benefits, and flexibility in work models.