Data Jobs – Biostatistician Analyst – Social & Scientific Systems (SSS)

Job Title:        Biostatistician
Organisation: Social
& Scientific Systems (SSS)
Duty Station: Kampala,
About US:
Social &
Scientific Systems (SSS) works to improve public health worldwide by providing
technical, research, and program management services to government, nonprofit,
and commercial clients. The SSS team offers a synergy of expertise in clinical
research services, epidemiology and public health studies, health data
management and analysis, and program evaluation and policy analysis. 
Key Duties and Responsibilities: 
  • Review and analyze HIV and Health data to identify and document
    patterns for providing evidence for policy and programmatic
  • Mine and analyze HIV and health data from multiple datasets,
    including but not limited to the DHIS2, HIBRID, LQAS, Adhoc and special
    surveys and other relevant data sources
  • Lead the implementation of the LQAS survey including design,
    deployment, data analysis, reporting and developing the capacity of users
    to use the LQAS data
  • Apply statistics and model building to identify, document and share
    trends and reasons behind the trends
  • Support special studies by developing and/or reviewing study
    protocols, establishing sampling methods and tools and providing technical
    assistance to study teams to conduct studies
  • Contribute to systems automation to facilitate analysis and
  • Build the capacity of stakeholders to carry out their own data
  • Lead the design, deployment, analysis and user capacity development
    for the LQAS
  • Develop and implement qualitative and quantitative methods and
    systems for acquiring, compiling, synthesizing, extracting and reporting
    HIV and Health information
  • Perform and provide critical analysis and thinking, advice and
    recommendations on issues based on accepted scientific understanding of
    HIV and Health contexts in Uganda and globally
  • Provide statistical insight in the interpretation and discussion of
    HIV and Health data and study results
  • Participate in planning and training of district personnel and
    implementing partners to complete their own analysis, prepare
    visualizations (pivot tables, dashboards etc) and presentations for
    quarterly performance review
  • Design study protocols and submit through supervisor for approval
  • Use statistical data to model scenarios for decision making
  • Contribute to study reviews and report writing
  • Prepare technical presentations and publications to communicate
    analysis and study results to both technical and non-technical audiences
  • Network with stakeholders to understand their data analytics, data
    use needs and respond accordingly.
  • Contribute to the technical briefs and internal SITES Think Tank to
    enrich technical discussions on HIV and Health issues
  • Collaborate with relevant government institutions to influence data
    application for evidence- based decision making.
  • Contribute to capacity building of SITES staff to enhance data analysis.
  • Contribute to progress reporting and related documentation to USAID.
  • Participate in carrying out team assignments as requested by
  • Contribute to new business process improvements and innovations
  • Identify learning, prepare and implement their dissemination
  • Collaborate with the Learning Technical specialist to design, plan
    and lead the implementation of learning events at SITES and among
    implementing partners
  • In collaboration with the learning specialist, conduct focus groups
    discussions with thematic analysis of factors associated with enhanced or
    poor performance
  • Train implementing partners to adapt and incorporate learnings in
    their activities
  • Document and disseminate progress of adaptation of learnings

Qualifications, Skills and Experience: 
  • Master’s degree training in statistics/biostatistics or equivalent.
    Doctoral training is added advantage.
  • Experience of at least 10 years direct statistical data analysis
    using qualitative and quantitative methods
  • At least 5 years’ experience with mathematical modelling of health
    and/or HIV data
  • At least 5 years using DHIS2 and other data sources to carry out
    Health and HIV/AIDS data analysis
  • Experience with designing study protocols and IRB approval
  • A clear understanding of M&E functions on a project
  • Training and/or experience with health epidemiology data analysis is
    added advantage
  • Experience working on US Government funded interventions is added
  • Experience with technical skills transfer through training and
  • Strong verbal and writing skills especially research related writing
  • Excellent presentation skills
  • Strong time management skills
  • Good understanding of research ethics
  • Ability to balance work expectations and budget
  • Experience leading teams
  • Experience working in a multidisciplinary environment with rapid
    turnaround of work products
  • Good interpersonal skills, team player and effective working style
  • Sensitivity to confidentiality issues, urgency of work and diplomacy
How to Apply:
All suitably
qualified and interested candidates should apply online at the link below.
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