Clinical Data Standards Intern — Future Talent Program

MSD

Rahway (NJ)

Hybrid

USD 40,000 - 111,000

Part time

14 days+
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Job summary

MSD invites interns to join the Future Talent Program in the Research Labs Division for up to 12 weeks, delivering projects and development opportunities. This role supports data standards, data management and SDTM/ADaM mapping with cross-functional collaboration.

Ideal candidates have data curation, programming skills (Python, SAS, VBA), and knowledge of CDISC standards; strong communication is essential as you partner with stakeholders to drive process improvements.

Qualifications

  • Understanding of information management practices.
  • Knowledge of industry standards (e.g. CDISC SDTM, ADaM, HL7).
  • Ability to manipulate and combine data from disparate sources.
  • Knowledge of programming languages such as Python, SAS, VBA.
  • Excellent communication skills.

Responsibilities

  • Applying strong data curation and analysis skills to uncover business insights related to service management.
  • Establishing FAIR principles to data standard definitions and promote re-use of those definitions.
  • Identify areas for process improvement, implement a solution, and measure effectiveness of the implementation plan.
  • Support mapping activities from data collection at an investigator site to SDTM reporting to the FDA.
  • Learning and understanding CDISC controlled terminology, evaluate new terms, and submit those terms for CDISC approval.

Skills

Data management
CDISC SDTM
ADaM
Python
SAS
VBA
Communication

Job description

MSD invites interns to join the Future Talent Program in the Research Labs Division for up to 12 weeks, delivering projects and development opportunities. This role supports data standards, data management and SDTM/ADaM mapping with cross-functional collaboration.

Ideal candidates have data curation, programming skills (Python, SAS, VBA), and knowledge of CDISC standards; strong communication is essential as you partner with stakeholders to drive process improvements.

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