The Ugandan Jobline

Job Title:  Senior Data Manager/Statistician

Organisation: Makerere University School of Public Health (MakSPH)

Project Name: Uganda Population-Based HIV Impact Assessment Survey (UPHIA)

Duty Station: Kampala, Uganda

About the Company:

The Ministry of Health (MoH), Makerere University School of Public Health (MakSPH) and the U.S. Centers for Disease Control and Prevention (U.S CDC) will be implementing the 2024 Uganda Population-based HIV Impact Assessment (UPHIA 2024) survey. The survey will assess the prevalence of key Human Immunodeficiency Virus (HIV)-related health indicators such as incidence, prevalence, viral load suppression, and risk behaviors in a nationally representative sample, and describe uptake of key HIV prevention, care, and treatment services. The survey will also assess the prevalence of raised blood pressure, raised blood glucose and obesity, and describe facilitators of and barriers to viral load suppression among people living with HIV on ART in two selected regions.

To support this activity, MakSPH seeks to hire highly qualified personnel for the following temporary positions for a period of 12 months, renewable:

Job Title:       Senior Data Manager/Statistician

Reports To:    Lead Statistician

Location:        Kampala, Uganda

Job Summary:   The Senior Data Manager/Statistician will play a pivotal role in the Uganda Population-based HIV Impact Assessment (UPHIA 2024-2025) survey, leading and directing all data management activities. This role involves managing the production of statistical studies and handling data using advanced statistical tools like SAS, STATA, R, and Python. The Senior Data Manager/Statistician will also supervise data analysts and data managers and manage the presentation of findings to stakeholders.

Key Duties and Responsibilities:

Statistical Study Design and Analysis

• Design, analyze, and implement targeted statistical studies for survey/public health research.
• Conduct statistical analyses of complex survey data.
• Use SAS, STATA, R, and Python for data manipulation, analysis, and visualization.
• Generate weighted point estimates and inference estimations for survey outcomes, applying Jackknife or Taylor series linearization techniques as needed.

Data Management

• Develop the Survey Data Management Plan
• Handle large and complex data sets, ensuring data quality, integrity, and confidentiality.
• Develop and implement robust data management processes to ensure data accuracy and consistency.
• Manage large databases and maintain data systems using tools such as SAS, R, Python, and SQL.
• Oversee data cleaning and verification to ensure data quality and reliability.
• Prepare comprehensive data reports using appropriate data visualization tools for effective communication with stakeholders.
• Employ advanced SQL scripting for complex data extraction and management.
• Support the design and review of survey instruments like questionnaires, tracking forms, etc.
• Analyze survey data using SAS, STATA or R, accounting for design features like stratification, clustering, and weighting.

Reporting and Presentations

• Write detailed analysis plans, finalize tabulation plans and descriptions of analyses and findings for research protocols or reports.
• Develop and present routine progress reports to stakeholders in weekly and monthly meetings using various data visualization tools.
• Input real-time data to dashboards to provide stakeholders with live updates on the survey’s progress.
• Prepare comprehensive data reports, including tables and graphs to present clinical or survey results.

Team Management

• Lead, mentor, and monitor the performance of the data analysts and data managers.
• Set performance standards and conduct performance appraisals.

Qualifications, Skills and Experience:

Qualifications:

• Master’s degree or higher in Statistics, Biostatistics, Data Science, or a related field.
• At least 5 years of experience in a data management role, preferably in a research or health care setting.
• Proficiency in statistical software such as SAS, STATA, R, and Python.
• Extensive experience with SQL scripting for complex data extraction and manipulation.
• Knowledge of advanced statistical methods, including analysis of data from complex survey designs, longitudinal analysis, mixed-effect modelling, logistic regression analyses, and model-building techniques.
• Proven experience in survey instrument design and data collection in field studies.
• Strong leadership skills with experience in training and mentoring team members.
• Knowledge of variance estimation techniques such as Jackknife and Taylor series linearization.

Additional Requirements:

• Excellent written and verbal communication skills.
• Ability to work in a fast-paced environment and manage multiple tasks simultaneously.
• Deep understanding of public health surveys and response rates.
• Demonstrated ability to explain complex technical concepts to non-technical stakeholders.
• Familiarity with the survey’s study data system, including real-time data monitoring, household monitoring, field team management, laboratory sample tracking, quality and proficiency test tool, real-time dashboard, and linkage-to-care applications.

How to Apply:

Interested persons should submit their signed application letter, updated curriculum vitae and academic documents stating at least two referees as ONE PDF DOCUMENT to recruitment@musph.ac.ug The application should be addressed to the Dean, School of Public Health, Makerere University and the position applied for should be the email reference. Please provide a reliable 24-hour phone contact.

Deadline: 23d August 2024 by 5:00pm

NB: Only short-listed candidates will be contacted for interviews.

For more of the latest jobs, please visit https://www.theugandanjobline.com or find us on our facebook page https://www.facebook.com/UgandanJobline

Related Jobs