Summary
Date Posted: Thursday, August 04, 2022 , Base Salary: Not Disclosed

JOB DETAILS:
Job Purpose:
The main purpose of the job is to support highly impactful clinical trials and observational research in child health, being responsible for ensuring data quality and completeness according to General Data Protection Regulations (GDPR), Good Clinical Practice (GCP) and Good Clinical Laboratory Practice (GCLP) for an international research network.

Budget And Resource Responsibility:
Responsibility for ICT hardware and software.

Job Dimensions:
We are operating an international network conducting harmonised health research to improve survival in sick undernourished children in Africa and Asia (The CHAIN Network). The job will involve use of databases and data tools to analyse, review and report data for various sites in a multisite environment.

The post holder will have a high level of responsibility for ensuring data quality, data storage and security, and thus the integrity of the results.

The post holder will work closely with the study statistician and our international partners to provide statistical and data management support for the entire network. The post holder should be able to work unsupervised, often with a variable timescale. The post is mentally demanding, involving a high level of communication with sites in other countries, as well as technical ability demonstrated in the use of statistical software and ability to work within laboratory constraints.

Key Responsibilities:
• Manage tools for collecting, entering, editing, cleaning, organizing, and archiving data.
• Carry out data review, validation including discrepancy checking, and cleaning.
• Manage data supervisors at sites and within co-ordination team (permanent or casual) in collaboration with Administration and PIs and monitor their performance.
• Design database for capturing and storing data.
• Prepare performance indicator reports on data status as study project progress.
• Co-ordinate data for all study sites projects.
• Conduct preliminary analysis and generate study progress reports and other statistical outputs as required from time to time.
• Participate in the development, review and translation of research tools;
• Participate in the set-up, pre-testing of data collection platforms including open-source research applications.
• Establish data cleaning plans and execute the same to realize high quality data including doing all required consistency checks for project data. Automate a data cleaning pipeline that can organically identify anomalies for continuous improvement on data quality.
• Document project datasets according to the Programme’s guidelines on data documentation, archiving and sharing.
• Extract data and prepare analytical files.
• Develop template syntax files for research staff to use in creating various datasets.
• Perform basic and advanced statistical analysis of data using tools such as STATA and R.
• Assist in training other staff members on data analysis
• Ability and willing to travel to all study sites in Africa and Asia.

Qualifications:
• Essential:
• A degree in Data Management, Statistics, Mathematicsor Computer Sciences or Information Technology or related qualification.
• At least 3 years experience in a similar experience. One (1) years supervisory experience an added advantage
• Experience in Data Management for Clinical Research or trials involving handling of laboratory data.
• Understanding of relational database design, implementation and verification.
• Training and/or experience in data management
• Excellent knowledge of database design and data modelling
• Excellent skills in data manipulation and statistical analysis
• Knowledge of software development methodologies

Desirable Criteria:
• Statistics experience with Stata or R.
• Knowledge of MySQL, PostgreSQL, or MSSQL
• Experience working with R Shiny or data visualization tools

Competencies:
• Demonstrate high levels of integrity and confidentiality
• Excellent interpersonal, written, presentation and communication skills
• Basic analytical, problem solving and critical thinking skills;
• Team working and ability to work in diverse teams
• Flexibility, adaptability, multi-tasking and attention to detail
Physical Environment/Conditions:
Based at the KEMRI/Wellcome Trust Research Programme in Kilifi or Nairobi, Kenya.
Be available to work out of hours if necessary.


Work Hours: 8

Experience in Months: 36

Level of Education: Bachelor Degree

Job application procedure
Apply here https://jobs.kemri-wellcome.org/job-advert/data-manager-8  

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