2027 Future Talent Program - Portfolio Resource Forecasting - Intern

Merck; Rahway (NJ); Hybrid; USD 40,000 - 111,000; Full time

Job summary

Merck in Rahway, New Jersey is offering a 12-week Future Talent Program internship within Global Clinical Trial Operations (GCTO) focusing on resource forecasting activities.

The intern will work with stakeholders, use Python/SQL/PowerBI to build data processes and dashboards, and contribute to algorithmic demand models.

This internship provides exposure to clinical research and drug development with a capstone presentation at the end.

Qualifications

• Currently enrolled in a full-time BS/BA degree program in business, computer technology, mathematics or science.
• Knowledge of Python, SQL, or PowerBI is a plus.
• Available to work full-time for up to 12 weeks beginning in May or June 2027.
• Completed at least 2 years of collegiate study by June 2027.

Responsibilities

• Provide resource forecasting and analytics support for selected functional stakeholders
• Use Python, SQL or PowerBI to create new data processes, views, or dashboards
• Develop tools to support resource forecasting, visualization and/or process automation
• Provide support for development of algorithmic demand models
• Generate process maps and/or performance metrics
• Assist organizational efforts to simplify and standardize global process
• Develop effective communications
• Receive exposure to the field of clinical research and drug development with direct activities supporting global clinical trial operations
• Deliver a capstone presentation illustrating internship objectives and activities

Skills

Python

SQL

PowerBI

Education

BS/BA degree in a relevant field

Job description

Job Description

The Future Talent Program features internships that lasts up to 12 weeks and will include one or more projects. These opportunities can provide you with great development and a chance to see if we are the right company for your long-term goals.

The Global Clinical Trial Operations (GCTO) team is seeking applicants for the Portfolio Resource Forecasting intern position. The intern will engage with the Portfolio Resource Forecasting organization and their functional stakeholders as they identify and validate the resource demand required to support the efficient and ethical conduct of clinical trials across GCTO.

Activities May Include (but Are Not Limited To)

• Provide resource forecasting and analytics support for selected functional stakeholders
• Use Python, SQL or PowerBI to create new data processes, views, or dashboards
• Develop tools to support resource forecasting, visualization and/or process automation
• Provide support for development of algorithmic demand models
• Generate process maps and/or performance metrics
• Assist organizational efforts to simplify and standardize global process
• Develop effective communications
• Receive exposure to the field of clinical research and drug development with direct activities supporting global clinical trial operations
• Deliver a capstone presentation illustrating internship objectives and activities

Required Education And Skills

• Candidates must be currently enrolled in a full-time BS/BA degree program in a business, computer technology, mathematics or science related discipline.
• Knowledge of Python, SQL, or PowerBI is a plus
• Candidates must be available to work full-time for up to (12) weeks beginning in May or June of 2027.
• Candidates must have completed at least (2) years of collegiate study by June of 2027

Please note that this position may be closed before the posted end date or may remain open longer, at the discretion of the company.

Salary Range

The salary range for this role is $39,908 - $111,111 USD

FTP2027

RL2027

Employee Status

Intern/Co-op (Fixed Term)

Relocation

No relocation

VISA Sponsorship

No

Travel Requirements

No Travel Required

Flexible Work Arrangements

Hybrid

Shift

Not Indicated

Valid Driving License

No

Hazardous Material(s)

n/a

Job Posting End Date

• A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

Requisition ID

R414068