AI in Pharma Trainer / Faculty

Key Roles & Responsibilities

Conduct classroom training on AI and its applications in the pharmaceutical and healthcare industry.

Deliver and record educational sessions, tutorials, demonstrations, and course modules.

Explain concepts through practical examples, demonstrations, projects, and case studies.

Train students on relevant AI, pharma, data science, research, and drug discovery tools.

Create structured, engaging, and high-quality recorded course content.

Conduct hands-on assignments, projects, assessments, and doubt-clearing sessions.

Help learners apply AI tools to pharma research, drug discovery, literature review, data analysis, and healthcare use cases.

Keep course content updated with emerging AI tools and industry trends.

Mentor students in building practical projects and professional portfolios.

Be confident and comfortable on camera while recording educational content.

Maintain an engaging and student-friendly learning environment.

Track student progress and provide constructive feedback.

Candidate Requirements

Strong knowledge of AI/Generative AI and pharmaceutical or healthcare applications.

Good understanding of areas such as Python, ML, NLP, data analysis, drug discovery, bioinformatics, literature research, ADMET, or pharma databases.

Excellent communication and presentation skills.

Must be camera-friendly and comfortable recording educational sessions.

Ability to explain technical concepts in a simple, practical, and engaging manner.

Teaching, training, mentoring, research, or industry experience is preferred.

Candidates from Pharmacy, Pharmaceutical Sciences, Biotechnology, Bioinformatics, Life Sciences, Data Science, AI/ML, or related fields are encouraged to apply.

Immediate joiners preferred.