Job Description

ZIMBABWE TECHNICAL ASSISTANCE, TRAINING AND EDUCATION CENTER FOR HEALTH (Zim-TTECH).
Position Title:​ ​Data Scientist (E-HR Impilo program) x 1
Station: ​​Harare
Deadline: ​​6 June 2024

Background
Zim-TTECH is seeking highly qualified and experienced applicants to be considered for the position of Data Scientist. Zim-TTECH is a registered Private Voluntary Organisation (PVO 125/23). Its activities occur primarily in the technical areas of health system strengthening; epidemiology and strategic information strengthening, health workforce development; operations research and evaluation; prevention, care, and treatment of infectious diseases.

Position Summary
The position identifies, defines, and implements new data-driven strategies and processes for the program.

Duties and Responsibilities

Responsibilities
Perform data extraction and merge data from multiple data sources. Design and implement deduplication algorithm. Utilizes advanced analytical and/or statistical ability to evaluate data and make judgments and recommendations regarding process and outcome improvement work, including resource utilization, physician practice patterns, and clinical pathway effectiveness. Proposes and creates innovative and appropriate data solutions (dashboards, reports, business intelligence tools, etc.) for the measurement of processes and outcomes. Advises on new data models, testing frameworks, and documentation practices. Collaborate with stakeholders in improving data extraction processes. Demonstrates excellent presentation and communication skills to share findings in an understandable and actionable manner tailored to audience and stakeholders needs. Identifies, defines, and implements new data-driven strategies and processes for the organization.

Qualifications and Experience

Qualification and Experience
Bachelor’s degree in computer science, Data Science, Biostatistics, Mathematics, or a related field.
Master’s degree will be an advantage. Must have at least 3 years of experience in working with large clinical dataset as a data manager or health scientist or bio stat. Strong knowledge and experience of data analysis tools and programming languages (e.g., Python, SQL, R) to extract, clean, manipulate, and analyse large datasets. Proficiency in data visualization tools such as Power BI and DHIS2 to create meaningful and insightful reports and dashboards. Experience with database systems (MySQL). Excellent problem-solving skills with a keen eye for detail and ability to see the bigger picture. Strong communication and interpersonal skills, with the ability to effectively collaborate with and present findings to technical and non-technical stakeholders. Strong organizational skills and ability to manage multiple projects simultaneously. Stay up-to-date with the latest advancements and best practices in data science, data management, and data visualization techniques.

How to Apply

Commitment to Diversity
Zim-TTECH recognizes that disparities in health around the globe stem from inequity. Therefore, the organization encourages and supports the multiple identities of staff including, but not limited to, socio-economic status, age, race, ethnicity, language, nationality, sex, gender identity and expression, culture, spiritual practice, geography, mental and physical disability. Zim-TTECH strives to become a local, national, and international leader in developing and maintaining increased representation and recognition of each of these dimensions of diversity among its staff.

Interested candidates should submit their application letter, detailed Curriculum Vitae, and certified copies of certificates to [email protected].

Only shortlisted candidates will be contacted.