BioTech Content Intern

Position Summary:

We are seeking BioTech Intern to contribute within the pharmacovigilance product development

team. You will leverage your deep understanding of safety data management, risk management

systems, and regulatory compliance to support the design, implementation, and enhancement of our safety products. This role will involve collaborating with cross-functional teams and external

stakeholders, ensuring that safety products meet the evolving needs of the pharmacovigilance domain.

Skills & Qualifications:

• Education: A degree in Pharmacy or a related field. A masters degree or equivalent experience is a plus. (Do not apply if you are graduating in 2026 or later)
• Experience: Fresher

Key Responsibilities:

1. Assist in writing and editing content for blogs, website pages, social media, newsletters
2. Collaborate with design, marketing, and product teams
3. Stay updated with content trends, digital tools, and best practices
4. Basic understanding of SEO and content marketing is an added advantage

Additional Responsibilities:

1. Data Curation for Machine Learning Models:

2. Assist in collecting, cleaning, and organizing biological and healthcare-related datasets to support machine learning model training.

3. Ensure data integrity and consistency by identifying and addressing any gaps, outliers, or inconsistencies within the data.
4. Collaborate with data scientists and machine learning engineers to prepare high quality datasets for training, validation, and testing of models.
5. Work with bioinformatics tools and software for data processing and analysis.

6. Contribute to the development of data pipelines and automating data workflows.

7. Product Management and Development:

8. Assist the product management team in defining product requirements, user stories, and features for AI-based healthtech solutions.

9. Help in the creation and refinement of roadmaps and timelines for product development, ensuring data requirements are well understood and executed.
10. Collaborate with cross-functional teams (e.g., engineering, design, research) to implement product features and enhancements.

11. Support user acceptance testing (UAT) and feedback loops from users to improve product functionality.

12. Research and Innovation:

13. Participate in research efforts for the application of AI in biotechnology and healthcare, exploring new ways to utilize AI technologies for innovative solutions.

14. Stay updated with the latest trends, papers, and developments in AI, ML, and biotechnology to bring innovative ideas into the product development process.

15. Collaborate with research teams to translate academic findings into practical applications.

16. Documentation and Reporting:

17. Maintain clear documentation of data curation processes, model training, and product feature development.

18. Assist in preparing reports, presentations, and other materials to communicate findings, product updates, and research outcomes to stakeholders.

19. Contribute to the writing of technical documentation and product specifications.

20. AI/ML Model Support and Evaluation:

21. Support the testing and evaluation of machine learning models by providing annotated datasets and insights into data trends.

22. Help in the assessment and optimization of existing models for better prediction and performance in healthcare applications.

23. Monitor model outputs and assist in analysing performance metrics (e.g., accuracy, recall, precision) in the healthcare context.

24. Cross-disciplinary Collaboration:

25. Work closely with bioinformaticians, engineers, healthcare experts, and product managers to ensure seamless integration of AI technologies into health tech products.

26. Engage in regular meetings with stakeholders to gather feedback, assess progress, and ensure that objectives are met.

27. Learning and Professional Development:

28. Continuously develop knowledge and expertise in AI/ML technologies, biotech applications, and product management practices.

29. Participate in training sessions, workshops, and seminars related to biotechnology, AI, and health tech.
30. Explore mentorship opportunities within the organization to understand career pathways in AI healthtech.