Oncology Scientific Training Intern — AI-Driven Learning

MSD Malaysia; Northern (KY); Hybrid; USD 40,000 - 111,000; Full time

Benefits offered by this job

Hybrid work arrangement

Intern/Co-op (Fixed Term)

No relocation

Job summary

Merck & Co., Inc. offers the Global Scientific Training Oncology Summer Intern program in our Research Lab Division. The 12-week internship supports development, implementation, and evaluation of scientific training for Medical Affairs and Field Medical teams.

You will collaborate with training leads and SMEs to contribute to content, resources, analytics, and process improvements, while delivering a meaningful business-impact project.

Qualifications

• Currently pursuing a PharmD, PhD, MD, or related healthcare/scientific degree.
• Completion of at least one year of graduate or professional education preferred.

Responsibilities

• Assist in developing and maintaining scientific training materials.
• Support curriculum updates for oncology and other therapeutic areas.
• Summarize literature relevant to training programs.
• Organize and track training content across learning platforms.
• Contribute to training needs assessments and gap analyses.
• Create learning resources and workshop materials.
• Evaluate training effectiveness via surveys and feedback analyses.
• Assist in planning training events and congress-related activities.

Skills

Scientific analysis

Clinical summarization

Written communication

PowerPoint Excel Word

AI productivity tools

Organization

Education

PharmD/PhD/MD or related healthcare/science degree

1 year graduate/professional education preferred

Tools

Microsoft Office

AI-enabled tools

Job description

Merck & Co., Inc. offers the Global Scientific Training Oncology Summer Intern program in our Research Lab Division. The 12-week internship supports development, implementation, and evaluation of scientific training for Medical Affairs and Field Medical teams.

You will collaborate with training leads and SMEs to contribute to content, resources, analytics, and process improvements, while delivering a meaningful business-impact project.