Lowongan Kerja District Data Associate For TB ICF ACF North Sumatra Management Sciences for Health (MSH) North Sumatra 2024
Management Sciences for Health (MSH) North SumatraRekrutmen Management Sciences for Health (MSH) 2024 - Management Sciences for Health (MSH) sedang membuka peluang karir bagi Saudara melalui Lowongan Kerja Terbaru untuk mengisi formasi jabatan sebagai District Data Associate for TB ICF ACF North Sumatra yang akan ditempatkan di North Sumatra. Silakan baca keterangan loker selengkapnya di bawah ini :
Rekrutmen Management Sciences for Health (MSH) 2024
Deskripsi Lowongan Kerja District Data Associate for TB ICF ACF North Sumatra North Sumatra TerbaruOverall Responsibilities The District Data Associate for ICF/ACF activities is responsible for implementing and support the BEBAS-TB in data collection, entry, and reporting for systematic case finding activities in healthcare facilities, communities, prisons, and detention centers. The successful candidate will ensure the data collected is complete, put in the register, and clean for further analysis by the provincial and national offices. Specific Responsibilities
QUALIFICATIONS Education:
- Implement and support the district TB program supervisor in data collection, entry, and reporting for systematic case finding activities in healthcare facilities and in communities.
- Implement and support the district TB program supervisor in data collection, entry, and reporting for systematic case finding activities in prisons and/or detention centers.
- Support the organization and preparation of monitoring and evaluation meetings at healthcare facilities implementing ICF and post-ACF activity.
- Ensure that the data from ICF and ACF activities enter, collated, and put in the template/register.
- Ensure the data collected is complete and clean to be further analyses by province and national office.
- Support the implementation of the data management activities in BEBAS-TB District.
Experience:
- Bachelor’s degree in Public Health
Competencies
- A minimum of two (2) years’ experience in research and data base management
Knowledge and Skills:
- Good understanding of basic monitoring and evaluation concepts, and have experiences in data collection, data entry and data tabulation.
- Understanding and familiarity of public health issues and infectious diseases in a complex environment.
- Specific TB knowledge is desirable.
MSH is an equal opportunity employer and will not discriminate against any employee or applicant for employment on the basis of race, color, sex, sexual orientation, gender or gender identity, religion, creed, citizenship, national origin, age, veteran status, or disability unrelated to job requirements. MSH will take affirmative action to ensure that qualified applicants are employed and that employees are treated without regard to their race, age, color, religion, sex, sexual orientation, gender identity, national origin, veteran and disability status. In compliance with U.S. Department of Labor Executive Order 11246, Section 503 of the Rehabilitation Act, and Section 4212 of the Vietnam Era Readjustment Assistance Act, MSH has developed and maintains an affirmative action program and plan. EEO is the Law - English EEO is the Law - Spanish Pay Transparency Nondiscrimination Poster Know Your Rights - Workplace Discrimination is Illegal Family and Medical Leave Act (FMLA) Employee Polygraph Protection Act MSH EEO-AA Policy
- Have experience in using data systems like Microsoft Excel, Google Sheet, SPSS, or other software.
- Basic web-based programming skills include collecting data on the web and use of web-based data collection tools such as Kobo toolbox, ONA, ODK, Google forms, etc.
- Good communication and facilitation skills. Basic understanding in English.
- Organizational and analytical skills
- Flexibility in the approach of various problems in different settings.
Pendaftaran :
Bagi yang berminat, silakan lakukan pengisian form dengan mengunjungi link berikut :
Catatan :
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- Rekrutmen Management Sciences for Health (MSH) ini tidak dipungut biaya alias gratis.
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