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Data Manager – 2 posts (initial 1 year contract with the possibility of renewal)
- Blantyre
- Contract (Full-Time)
- Closing Date: 31/08/2023
Job Description
Introduction
The Malawi-Liverpool-Wellcome (MLW) Programme (https://www.mlw.mw) is an internationally recognized centre for research and research training, funded by the Wellcome Trust. In collaboration with the Kamuzu University of Health Sciences (KUHeS), College of Medicine. MLW would like to engage the services of a competent and dynamic individual to work in an exciting Research Programme at the MLW Research facility as it is expanding.
Job Summary:
The data manager will be a full-time position based at MLW Blantyre Campus working reporting to the head of the data management support unit (DMSU). The post holder will undertake a key role in the data management of projects hosted at MLW and managed by the DMSU to ensure MLW delivers high quality research whilst maintaining excellent standards and practice. The post holder will work in close partnership with the DMSU team in close communication with study teams and will be responsible for all aspects of the data management process, including development of project documentation, electronic questionnaires, overseeing and support data collection and validation, data administration, archiving and sharing. The post holder will provide support and technical expertise in the management and processing of research data within assigned projects to ensure that they are executed accurately and within set timelines.
Responsibilities
1.Data Management:
- Provide data management input on questionnaire and database design and advice on how to capture appropriate study outcomes.
- Contribute to the development and testing of trial databases and electronic questionnaires for studies.
- Perform quality control checks (including spot checks) and database quality assessments on the research databases of projects.
- Monitor data for consistency and acceptability using appropriate data management software.
- Reconciliation of data from external sources and relational databases (e.g., laboratory, adverse events, etc).
- Extract and prepare subsets of data, deriving variables for statistical analyses.
- Ensure that storage, archiving, back-up and recovery procedures of data are functioning correctly
2.Project Support:
- Liaise regularly with investigators and statisticians to establish, align and confirm data management expectations.
- Advise on the most appropriate data management platform choices for new studies.
- Assist study teams to monitor the status of collected participant data.
- Assist the study team with the development and review of trial documentation related to data management.
- Support the study teams to ensure documentation of, and adherence to data management activities following internal SOPs and study specific plans.
- Ensuring that study data is complete, accurate and up to date.
- Working with the study team, review, analyse, and validate research data to ensure consistency, integrity and accuracy based on project specific guidelines.
- Support study teams with query management and to resolve errors and inconsistencies.
- Support the production of regular reports (e.g., data entry/collection progress, query progress) of studies.
- Assist the study team with delivery of data related training for staff / sites (data collection and management platforms).
3.DMSU Support:
- Prepare or review data management documentation, ensuring appropriate quality and compliance with regulatory guidelines and SOPs.
- Draft project specific documentation for trials, e.g., the data management plan for grant applications.
- Plan and track content, format, and quality of data management deliverables, including, questionnaire design, data validation, data quality assessment, database lock, final datasets, and archiving.
- Create or review conventions and quality expectations for research data.
- Establish expectations for dataset content and structure.
- Work closely with other members within DMSU to continuously develop and maintain internal data management procedures and ensure all processes are appropriately documented.
- Training of staff, both in DMSU and within study teams, to ensure compliance with clinical trials best practice and regulations.
Requirements
Qualifications and Experience
- Undergraduate degree or equivalent qualification in Information Technology, Computer Science or related field or commensurate experience in delivering on research data management.
- At least 1 year experience working in medical and/or epidemiological research context, managing teams.
- Experience working with mobile data collection platforms.
- Experience working with OMR/OCR data processing platforms.
- Demonstrated proficiency in SQL databases (DDL, DML) specifically MS SQL Server and MySQL.
- Demonstrated proficiency working with statistical tools, specifically R, Python and STATA, with a focus on data wrangling / cleaning.
- Demonstrated proficiency working with Visualization tools like Power BI etc.
- Experience working on ETL flows using tools such as SSIS, Pentaho-Kettle would be an added advantage.
Personal Specifications
- Knowledge of and training on good clinical practices (ICH-GCP) would be an added advantage.
- Knowledge of data management best practices and legislation (GDPR, Data Protection laws, GCDMP, etc) would be an added advantage.
- Excellent interpersonal and communication skills, including a proven ability to establish and maintain effective working relationships with individuals from different cultural and ethnic backgrounds.
- Good organisational and problem-solving skills, with an ability to identify and resolve issues and prioritise workloads working with minimal supervision.
Remuneration and Benefits
MLW offers an attractive remuneration package which includes a competitive salary package commensurate with the position, a medical aid scheme, 24 hours insurance cover, pension scheme, gratuity benefits redeemable once every year, among others.
MLW also offers opportunities such as scholarships, upgrading and training opportunities to employees. These are based on successful job performance and other set criteria.
MLW recognizes its responsibility in safeguarding and protecting communities, research participants and patients. Please note that successful candidates will be requested to undergo a safeguarding check prior to appointment and at regular time points during employment.
Suitably qualified candidates should forward their applications with copies of relevant certificates, 3 contactable referees and a detailed CV (as one combined document) to this email vacancies@mlw.mw.
Please indicate the position title as the subject of your email. Hand-delivered applications will not be processed.