Data Manager – PROTECT Study

June 17, 2024

Positions:        One
Duty Station:        MU-JHU
Contract terms:    One year (renewable)

Job Summary:
The successful candidate will primarily be responsible for ensuring clinical trial data of the research organization is collected, managed, secured, and reported clearly and accurately. The ideal candidate should have extensive knowledge of the clinical data management principles, regulatory guidelines, and data management industry best practices. They should be willing to work independently and collaboratively with cross-functional teams to ensure timely and accurate data delivery.

General Responsibilities:

  • Overseeing the collection, validation, and processing of clinical trial data.
  • Developing and implementing data management procedures for clinical trials.
  • Supporting and facilitating the review of medical coding for validity and completeness.
  • Ensuring compliance with applicable local and international regulations, study protocols, and standard operating procedures in the institution.
  • Maintain the highest data quality standards throughout the data lifecycle, from data collection to database lock.
  • Stay updated on industry best practices, technological advancements and regulatory requirements related to clinical data management.

Qualifications, Skills, and Experience:

  • Bachelor’s degree in Computer Science, Information Technology, Biostatistics, or Data Management is required. Master’s degree in Computer Science, Information Technology, Biostatistics, or Data Management is an added advantage.
  • 3-5 years of experience in clinical data management or a similar role in the public health or clinical research industry.
  • Strong understanding of clinical trial processes, data management principles and regulatory guidelines.
  • Proficiency in electronic data capture (EDC) systems and clinical data management software.
  • Familiarity with clinical trial design and basic knowledge of relevant regulations and guidelines, like ICH/GCP and GCDMP standards.
  • Understanding of data privacy and protection regulations (e.g., GDPR).
  • Training in statistical packages/programs, such as Excel, STATA, SQL, R, Python and Microsoft PowerBI and statistical analysis will also be an added advantage.
  • Experience with open-source Electronic Medical Records systems.
  • Excellent attention to detail with problem-solving and analytical skills.
  • Strong organizational and time management abilities.
  • Effective communication and interpersonal skills to collaborate with other teams.

The holder of this position will work under the direct supervision of the Senior Data Manager with administrative supervision from the Research Fellow. He/she will be responsible for the following tasks:

  • Develop and maintain data management documentation, including study guidelines, Standard Operating Procedures (SOPs) and Data Management Plans (DMPs).
  • Design case report forms (CRFs) and electronic data capture (EDC) systems for data collection.
  • Perform data entry and cleaning activities, including discrepancy management and query resolution.
  • Conduct data validation checks and implement quality control measures to ensure accuracy and completeness.
  • Collaborate with study team members to resolve data-related issues and discrepancies.
  • Generate and review data listings, summaries, and reports for clinical study reports.
  • Serve as a primary or backup resource for data management functions as guided by your supervisor.
  • Ensure compliance with guidelines, Good Clinical Practice (GCP), CDISC standards and other relevant regulations.
  • Contribute to the development and validation of data management software tools.
  • Actively participate in the MUJHU Data, Statistics, and M&E Centre activities.

Applications with complete C.Vs, including 3 referees and their full address or contact telephone number, copies of academic certificates and testimonials, should be addressed to the MU-JHU Director Human Resources, through the reception on first floor, MUJHU 1 Building or sent by email (application should not exceed 15MBs) to  – not later than 28th June, 2024  by 5.30pm. Only short-listed applicants will be contacted.


Romana Nabbosa