Senior Executive/Assistant Manager (Data Management)

NATIONAL UNIVERSITY OF SINGAPORE; Singapore; On-site; SGD 40,000 - 60,000; Full time

Job summary

A leading educational institution in Singapore is seeking a Junior Data Manager to support the development and maintenance of clinical trial databases. Responsibilities include data handling, cleaning, and quality assurance. The ideal candidate will have a Bachelor's or Master's degree and 1-3 years of relevant experience. Candidates should be familiar with clinical trial terminology, data protection regulations, and EDC systems. Experience with SQL or other programming languages is advantageous. This position offers opportunities to contribute to public health initiatives.

Qualifications

• 1–3 years of experience in clinical research or data management.
• Knowledge of clinical trial lifecycle and terminology.
• Familiarity with ICH-GCP and data protection regulations.
• Experience with CDISC (SDTM/CDASH) is advantageous.

Responsibilities

• Perform routine data cleaning and resolve data queries.
• Support CRF/eCRF design and assist with testing.
• Generate routine data status reports for PM and site teams.
• Provide guidance to study sites on data entry procedures.
• Ensure compliance with ICH-GCP and SOPs.

Skills

Analytical skills

Communication skills

Documentation skills

Education

Bachelor's or Master's degree in Life Sciences, Public Health, Biostatistics, or Computer Science

Tools

Basic SQL

R

STATA

Python

Job description

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via the NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Junior Data Manager to support the development, implementation, and maintenance of clinical trial databases and data workflows in ADVANcing Clinical Evidence in Infectious Diseases Network (ADVANCE-ID).

ADVANCE ID is jointly funded by the Wellcome Trust and Singapore institutions including the Saw Swee Hock School of Public Health and Yong Loo Lin School of Medicine, National University of Singapore. The vision of the Network is to improve public health by developing the clinical evidence base for the prevention and treatment of drug-resistant infections.

The Network aims to build and sustain a strategic clinical research network focused on delivering locally relevant interventions for drug-resistant infections efficiently.

The Network will continuously develop its capabilities, quality and efficiency by learning from and collaborating with other clinical trial networks.

Duties & Responsibilities

• Data Handling & Cleaning
  • Perform routine data cleaning, including generating and resolving data queries.
  • Review CRFs/eCRFs for completeness, consistency, and protocol compliance.
  • Prepare and maintain data listings, discrepancies logs, and query trackers.
• Database & CRF Support
  • Support CRF/eCRF design and assist with testing and validation.
  • Participate in User Acceptance Testing (UAT) for EDC configuration.
  • Assist in writing or updating Data Management Plan (DMP) and data flow documentation.
• Data Quality & Reporting
  • Generate routine data status reports for PM, PI, and site teams.
  • Assist in data reconciliation (SAEs, labs, pharmacy/IP, imaging).
  • Support preparation for database lock, interim analyses, and DMC reviews.
• Site & Study Team Support
  • Provide guidance to study sites on CRF completion, data entry procedures, query resolution.
  • Respond to site queries and elevate data issues appropriately.
  • Support monitoring activities and participate in internal data review meetings.
• Compliance & Documentation
  • Ensure compliance with ICH-GCP, institutional SOPs, data protection and privacy requirements.
  • Maintain accurate and complete study documentation (DMF, UAT files, logs).

Qualifications

• Bachelor’s or Master’s degree in Life Sciences, Public Health, Biostatistics, Computer Science, or related fields.
• 1–3 years of experience in clinical research or data management.
• Knowledge of:
  • Clinical trial lifecycle and terminology
  • ICH-GCP and data protection regulations
  • EDC system
• Strong analytical, documentation, and communication skills.
• Advantageous:
  • Experience with CDISC (SDTM/CDASH)
  • Basic SQL, R, STATA, or Python
  • Experience with multi-country trials