Summary
Date Posted: Monday, October 14, 2019 , Base Salary: Not Disclosed

JOB DETAILS:

The University of California San Francisco (UCSF) through its in-country partner, Population Council – Zambia, is engaged in several projects in Zambia that are funded by the U.S. Government to provide technical assistance to the Ministry of Health (MOH) and its partners. The Ministry of Health (MOH) and UCSF/Population Council are implementing the recent HIV infection survey in Zambia as part of a national roll-out.
As part of UCSF’s and Recency Countries’ surveillance and survey activities, a lot of data is collected, managed, stored, and analyzed at various levels. This data comes from a variety of sources and is collected through many different data entry systems, some paper- and some electronic-based. As a result, the data need to be linked, adequately stored, and reviewed for data quality and consistency issues before being analyzed and interpreted by stakeholders. In order to use this data, it should be transformed into information and used to inform programming and decision-making. There is, thus, a need to hire a Recency Data Manager to coordinate and solve data quality, consistency, and validity issues that they actively manage and analyze for Zambia data related to recency testing.
The Position
The Recency Data Manager will primarily be responsible for maintaining an in-country database for all datasets from the recency study, as well as related datasets (public/programmatic/survey), for purposes of crafting integrated public health responses informed by this data. They will be responsible for developing SOPs for storing and retrieving data, data quality analysis, and correcting data using approved methods. They will also be responsible for providing custom datasets upon request in a custom format (e.g. as an Excel file). The Data Manager is expected to work closely with UCSF Informatics Developers, IP and MOH staff, and UCSF and Population Council programmatic employees. In addition to recency data, the Data Manager will also coordinate with CQI Officers at Population Council – Zambia to manage continuous quality improvement (CQI) data from supervision visits to labs and facilities to ensure, for example, that the RTRIs are being administered properly, informed consent is obtained, and that all documentation is completed correctly. .

  Job Responsibilities:
Documentation
• Creation of documentation and a solid understanding of all data flows (from source to analysis and use) for all recency-related data
• Maintenance and understanding of all SQL-based documentation which details data cleaning, standardization, validation, and analytical procedures
• Maintenance and ongoing analysis of data quality as well as tracking of all ‘bugs’
• Documenting and cataloging all data elements(data dictionaries and metadata) for the various datasets as well as the relationships between them (e.g. ERD’s for data linkages)
• Documenting all changes to variables and data structures (i.e. change management)
• Development of all policies and procedures for requesting and approving data access for internal and external data use partners
• Active maintenance of logs which contain information on all users which have access to certain data sets as elements, as well as intended use (e.g. analysis, publications, etc.)
• Documenting minimal use dataset creation criteria and parameters
Communication and Coordination
• Ensuring that policies and procedures for data access are adhered to by internal staff and external partners
• Coordinating between appropriate project staff and data stewards to determine data request prioritization and minimal dataset development timelines
• Coordinating with the informatics team to ensure proper prioritization of minimal dataset development and fixing data quality issues
Communicate Performance Management
• Communicate appropriate vs. inappropriate uses of datasets
• Preparing publications on data
Technical Assistance
• Ensuring appropriate use through guiding analytical approaches and ensuring that correct conclusions are drawn from source data
• Creation of minimal use datasets to meet external data user needs, requiring an understanding of SQL and procedures/functions
Technical Documentation
• Ensuring that technical guidelines for anonymization of datasets are followed for external data use while still maintaining data linkages across appropriate datasets

Job Skills: Not Specified

  Job Qualifications:
• At least five years of working experience managing active large study/surveillance datasets, including familiarity with HIV testing and laboratory indicators and data structures
• A Bachelor’s degree or Master’s degree in Data Science, Data Management, Computer Science, Software Engineering or a related field with sufficient training in database related disciplines
• Demonstrable experience with at least one of the following: Oracle, SQL Server, MySql, PostgreSQL
• Demonstrable experience in writing advanced SQL queries and statements.
• Demonstrable experience with at least one statistical analysis software package: R, SAS, STATA, SPSS
• Demonstrated good communication and interpersonal skills
• Ability to coordinate with multiple partners in various countries to carry out duties as assigned

Job Education Requirements: Not Specified

Job Experience Requirements: Not Specified

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Job application procedure
with regard to age, color, creed, national origin, disability, political belief, veteran status, religion, marital status, gender, gender identity, or sexual orientation. Decisions on employment are based on an individual’s qualifications as related to the position for which s/he is being considered. The Council has an affirmative action plan and especially encourages applications from qualified women and members of minority groups. The Population Council is international in the composition of its board of trustees and its staff, as well as in the nature and deployment of its activities.
If you interested in the above position, please send your Application Letter and CV to info.zambia@popcouncil.org  on or before 20th October, 2019. Please note that copies of certificates are not required at this juncture.

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