Job Title

PV Analytica is a pioneer in AI-driven Patient Safety Solutions, dedicated to transforming how life sciences organizations manage adverse events, product complaints, and medical inquiries. By utilizing advanced technology platforms, we ensure unparalleled accuracy, efficient operations, and regulatory compliance. With a strong focus on exponential technologies, we empower clients to achieve significant business efficiency and growth. Based on deep industry knowledge and commitment to client success, PV Analytica plays a key role in propelling innovation in patient safety.Join us to redefine the future of healthcare and safety in a rapidly evolving industry.Role DescriptionThis is a full-time on-site opportunity for individuals with a background in Pharma or Biotechnology and coding experience. Located in Gurugram, the role involves integrating technical understanding with life sciences to contribute to the development and optimization of AI-enabled solutions. Day-to-day responsibilities include analyzing and managing data sets, collaborating with development teams on AI projects, and providing insights into pharmaceutical and biotech processes. Interns will take part in developing innovative solutions while addressing client-specific challenges.This role is ideal for candidates who want to combine Life Sciences domain knowledge with AI App development, rather than pursuing traditional IT or functional pharma-only roles.Responsibilities- Develop and maintain AI applications - Work on Life Sciences and Pharmacovigilance workflows - Implement data validation, review, and workflow automation modules - Collaborate with product, domain, and engineering teams - Participate in testing, documentation, and sprint execution - Learn and apply regulatory-compliant development practicesRequired Qualifications- Degree in Pharmacy / Biotechnology / Life Sciences / Pharmacology - Exposure to Pharmacovigilance or Clinical Research concepts - Strong knowledge of Python programming - Understanding of databases and API-based systems - Willingness to work full-time from office (no hybrid / no remote)Preferred Skills (Good to Have)- Good understanding of AI, NLP, LLM, Prompt Engineering - exposure to Django / Django REST Framework, React.js - Familiarity with GxP, 21 CFR Part 11, or data compliance concepts - Experience with Git, Docker, or cloud platformWhat You Will Gain- Hands-on experience building real-world AI platforms for Life Sciences - Mentorship from senior industry professionals - Strong exposure to Pharma domain + modern technology stack - Structured learning environment - Opportunity for full-time role based on performance