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Key Responsibilities:
1.Training & Curriculum Development:
Develop and deliver a structured training program in Clinical Research.
Cover essential topics like clinical trial phases, ICH-GCP guidelines, ethics, regulatory submissions, pharmacovigilance, and medical writing.
Prepare study materials, case studies, assignments, assessments and student's projects.
Conduct live sessions, workshops, webinars and interactive discussions.
Provide Hands-On training on tools/softwares used in CR.
Stay updated with the latest clinical research regulations, drug approvals, and trial methodologies.
2.Student Engagement & Mentorship:
Guide students on career opportunities in Clinical Research.
Conduct Q&A sessions, real-world case studies, and practical exercises.
Provide insights into clinical data management, biostatistics, and trial monitoring.
Provide project work related guidance to students on Clinical Research.
3.Industry Compliance & Collaboration:
Ensure the training aligns with ICH-GCP, CDSCO, US FDA, and EMA regulations.
Collaborate with industry experts to bring real-world insights into the course.
4.Assessment & Feedback:
Evaluate student performance through quizzes, assignments, projects, and mock tests.
Gather continuous feedback to improve training quality.
Qualifications & Experience:
1.Essential:
Master's or Ph.D. in Life Sciences, Biotechnology, Pharmacy, or Clinical Research.
2+ years of experience in clinical research, clinical trial management, or pharmacovigilance.
Strong knowledge of ICH-GCP guidelines, regulatory frameworks, and clinical trial protocols.
Knowledge on CR related free tools/AI tools/softwares (RapidMiner; Knime, OpenFDA API, PubChem API, EMA/FDA Sandbox, Rasa etc.)
Prior teaching or corporate training experience in Clinical Research.
Excellent communication, presentation, and mentoring skills.
2.Desirable:
Industry experience in clinical trial management, CROs, or pharmaceutical R&D.
Knowledge on AI Tools used in CR protocol design (clinical research trials, data visualization, cleaning and preprocessing (eg: using Google Collab(Python Basics, Data Handling, etc,)).
Certification in Clinical Research (e.g., CCRP, ACRP, DIA).
Hands-on experience in clinical data management and regulatory submissions.
Why Work at Biotecnika
Job ID: 138547069