IT/Data Manager Job at KNCV Tuberculosis Foundation (KNCV)

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Job Title: IT/Data Manager

Company: KNCV Tuberculosis Foundation (KNCV)

Job Type: Full Time

Qualification: MBA/MSc/MA   

Location: Lagos, Nigeria

Job Field: ICT / Computer

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KNCV Tuberculosis Foundation (KNCV) is the principal international non-profit organization exclusively dQualifications/Experience:

Seeking a Statistician/Epidemiologist to develop and implement a statistical analysis plan in coordination with in-country and international staff for a TB Inventory study. The applicant should have a PhD in Statistics, Epidemiology or Mathematics and have a demonstrated competence in (bio)statistics, survey methodology, sampling, etc. The applicant should be familiar with TB/HIV epidemiology, and competent in software such as MS ACCESS, Epi Data, Link Plus, STATA, R+, SPSS, etc. Knowledge of GIS is desirable, while demonstrated proficiency in English and another Nigerian language is necessary.

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Qualifications/Experience: – At least an MSc in statistics, information technology, informatics, computer science or mathematics to oversee data collection and data management for a TB Inventory study. Successful applicant should have a thorough understanding of statistics, sampling and survey methodology. Applicants need to have demonstrated experience in merging and appending of data bases: ideally to include probabilistic (fuzzy) and deterministic matching for database de-duplication, Demonstrated experience in data management software such as MS ACCESS, Epi Data, Link Plus, etc. is a must, as well as a solid understanding of TB surveillance and quarterly reporting. Knowledge, of management of missing data is important and knowledge of GIS software is desirable. Proficiency in English and another Nigerian languafile is necessary.

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Job Responsibilities:  – The IT/Data manager will be responsible for verifying the accuracy of public and private data source sampling frames, and. developing a sound method of digitizing paper-based records. He/she' will develop data cleaning SOPs, train and supervise data entry staff, perform multiple probabilistic and deterministic matches to compare official surveillance data with facility-based data, with the ultimate aim of quantifying the extent of under- and over-reporting of TB notifications at the facility, LGA and sector level. Willingness to work with TB staff and spend 25% of time in the field for data collection is a must.

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