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Data Analyst job at Baylor Foundation | Apply Now

Are you looking for jobs in Uganda today 2024? If yes, then you might be interested in Data Analyst job at Baylor College of Medicine Children’s Foundation

Kampala, Uganda

Full-time

Deadline: 

28 Feb 2024

About the Organisation

Baylor College of Medicine Children’s Foundation-Uganda (Baylor – Uganda) is a child health, not – for – profit NGO committed to delivering high quality, high impact and highly ethical paediatrics and family HIV&AIDS prevention, care and treatment services, health professional training and clinical research in Uganda. It is affiliated to Baylor College of Medicine International Paediatric AIDS Initiative (BIPAI) based at Texas Children’s Hospital in Houston, Texas, USA. It emerged from a technical capacity building support and partnership between BIPAI, Mulago Hospital Paediatric Infectious Diseases clinic (PIDC) and Makerere University Department of Paediatrics and Child health in August 2003. PIDC existed since 1988 as a Mulago hospital clinic offering Paediatric HIV&AIDS services. In November 2004, PIDC was officially initiated into the BIPAI network at their annual networking meeting in Gaborone, Botswana. In 2005, BIPAI signed memoranda of understanding with Ministry of Health, Mulago Hospital and Makerere University Department of Paediatrics and child health to support the expansion of paediatric and adolescent HIV services in Uganda. It was then that Baylor College of Medicine Children’s Foundation – Uganda (Baylor – Uganda) was formed and registered as a Non-Government Organization.

Job Title

Data Analyst job at Baylor College of Medicine Children’s Foundation

Baylor College

Job Description

The data analyst will be responsible for organizing, managing, analyzing, interpreting, and presenting data related to Global Health Security (GHS), Research, and other programs within Baylor-Uganda. S/he should utilize technical expertise to ensure data is accurate and high-quality. S/he will provide advanced data analytics, statistical inference, and data visualization in a way that assists program and research staff in making better decisions for program development.

Duties and Responsibilities

  • Data security and governance - Work with management and researchers to identify process improvement opportunities, propose system modifications, and devise data security and governance strategies in line with international and national laws, policies, and guidelines.

  • Data Management - Develop and maintain databases and data systems that ensure the capture, maintenance, and access to quality and clean data formats ready for statistical analysis.

  • Data Extraction - Use automated tools to extract data from primary and secondary sources for clinicians and researchers to facilitate learning, program development, and adaptions.

  • Data Analysis - Use statistical tools to identify, analyze, and interpret patterns and trends in simple and complex data sets that could be helpful for diagnosis, management, and outcomes prediction.

  • Data analytics capacity building - Support in-house data analytics trainings and skills development for Baylor-Uganda and partners’ staff using appropriate statistical software, such as Stata, R software, and others.

  • Scientific writing - Support development and writing of scientific presentations, abstracts, and manuscripts to be submitted to peer-reviewed journals for publication.

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SERVICES

COMMERCIAL

SERVICES

INDUSTRIAL

SERVICES

RESIDENTIAL

SERVICES

COMMERCIAL

SERVICES

INDUSTRIAL

SERVICES

RESIDENTIAL

SERVICES

COMMERCIAL

SERVICES

COMMERCIAL

SERVICES

COMMERCIAL

SERVICES

COMMERCIAL

SERVICES

INDUSTRIAL

SERVICES

RESIDENTIAL

Qualifications and Competencies

  • Master’s degree in Statistics, Biostatistics, Epidemiology, or Mathematics

  • Hands-on experience with R, SQL, STATA, SPSS, EpiData, and PowerBI

  • Experience in longitudinal or survival data analysis to support analysis of data from cohorts.

  • Experience in handling missing data in clinical research databases

  • 5 Years Relevant Experience

How to Apply

APPLICATION FOR THIS POSITION MUST BE DONE ONLINE:
Are you interested? Click the "APPLY" button below to submit your application.

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