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

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

Job Title:        Biostatistician Analyst

Organisation: Social & Scientific Systems (SSS)

Duty Station: Kampala, Uganda

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 decision-making.
  • 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 reporting
  • Build the capacity of stakeholders to carry out their own data analysis
  • 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 supervisor
  • 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 advantage.
  • Experience with technical skills transfer through training and mentorship
  • 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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