Website:
vyudie.com
Job details:
About NexELabs
NexELabs (NexSphere Edu Labs) is a specialised Health and Life Sciences organisation working with universities, industry experts and institutional partners to develop industry-relevant education, professional capability and workforce-readiness programmes. Our focus is on connecting academic learning with emerging industry practices through applied learning, emerging technologies and expert-led instruction.
About the Role
We are seeking an AI & Digital Tools Trainer – Pharmaceutical Sciences to develop and deliver practical, engaging instructional content demonstrating the application of artificial intelligence and emerging digital technologies across the pharmaceutical industry.
The ideal candidate will have hands-on experience with AI-enabled tools, computational platforms and digital applications relevant to different pharmaceutical functions.
We are particularly interested in professionals who can go beyond theoretical explanations and demonstrate how digital tools are applied to practical pharmaceutical problems and workflows.
This is a fully remote, freelance, assignment-based opportunity, not a permanent or salaried position. Successful candidates will be engaged for specific training assignments based on their expertise and our programme requirements.
Key Responsibilities
- Develop and record practical, step-by-step instructional sessions on AI and digital tools relevant to pharmaceutical sciences.
- Demonstrate AI applications in drug discovery, formulation development, clinical research, pharmaceutical manufacturing, quality management, regulatory affairs and pharmacovigilance.
- Introduce learners to generative AI, machine learning, predictive analytics, data analysis and workflow automation.
- Demonstrate relevant computational and digital platforms through realistic pharmaceutical applications.
- Develop guided exercises and practical learning activities that enable students to apply tools independently.
- Translate technical concepts into clear, accessible explanations suitable for pharmacy and life sciences students.
- Prepare instructional content based on learning objectives and topic briefs provided by NexELabs.
- Collaborate remotely with our academic and content development teams to ensure technical accuracy and instructional quality.
Required Qualifications and Experience
- Postgraduate qualification in Pharmacy, Pharmaceutical Sciences, Pharmaceutical Chemistry, PharmacoInformatics, Bioinformatics, Computational Biology, Biotechnology or a related field.
- Minimum 2 years of relevant industry, research or applied technical experience.
- Practical experience using AI-enabled tools, computational platforms or digital technologies in pharmaceutical or life sciences applications.
- Understanding of digital technology applications across multiple pharmaceutical functions.
- Ability to develop and deliver clear, engaging, hands-on technical demonstrations.
- Strong English communication and presentation skills.
- Comfortable independently recording instructional videos and screen-based demonstrations.
Preferred Skills
Experience with one or more of the following would be advantageous:
- Computational Drug Discovery: Schrödinger, AutoDock, SwissADME, RDKit, molecular modelling and virtual screening.
- AI & Machine Learning: Generative AI, large language models, scikit-learn, PyTorch, TensorFlow and predictive analytics.
- Pharmaceutical Data Analytics: Python, KNIME, data visualisation and workflow automation.
- Clinical & Drug Safety Applications: AI-assisted clinical data analysis, literature screening, pharmacovigilance and safety analytics.
- Manufacturing & Quality Applications: AI-enabled process analysis, quality trend monitoring, predictive modelling and digital quality systems.
- Regulatory Applications: Regulatory intelligence, document analysis and AI-assisted regulatory workflows.
Candidates do not need expertise in every tool listed. We value the ability to demonstrate meaningful applications across different pharmaceutical functions.
Engagement Terms
Work Location: 100% Remote (India-based candidates preferred)
Engagement Type: Freelance / Independent Contractor
Work Schedule: Flexible, assignment-based
Compensation: Paid per agreed assignment or deliverable, depending on scope and expertise.
Nature of Work: Development and recording of instructional sessions, practical demonstrations and associated learning materials.
This is not a salaried employment opportunity. There are no fixed working hours or guaranteed monthly assignments. Work will be commissioned according to project requirements.
This opportunity is particularly suitable for industry professionals, researchers, doctoral scholars and technical specialists who wish to contribute to pharmaceutical education alongside their existing professional commitments.
How to Apply
Interested candidates are invited to email their applications to ceo@gonexsphere.com and ac adlifesciences@gonexsphere.com.
Please include:
- An updated CV and a brief professional introduction.
- A list of AI, computational and digital tools you can confidently demonstrate.
- Details of your relevant pharmaceutical industry or research experience.
- A sample instructional video or a 3–5 minute screen-recorded tool demonstration, if available.
Email Subject: Application – AI & Digital Tools Trainer (Pharma)
Please note that this is a fully remote, freelance, assignment-based engagement, not a permanent or salaried position.
Click on Apply to know more.
