Recency Data Manager Job Careers – Global Programs for Research and Training (GP)

Data Manager
Organization: Global
Programs for Research and Training (GP)
Duty Station: 
Kampala, Uganda
Reports to:
Recency Informatics Manager
About US:
The University of
California, San Francisco (UCSF) through its affiliate international NGO Global
Programs for Research and Training (GP) is engaged in projects in Uganda as
well as Burundi, Cambodia, Kenya, Malawi, Namibia, Vietnam, Thailand, and
Zambia (to be referred to as Recency Countries) funded by the U.S. Centers for
Disease Control and Prevention (CDC). UCSF’s role is to provide technical
assistance to Ministries of Health and its partners, including multiple
comprehensive IPs, to roll out the use of a rapid test for recent infection
(RTRI) for HIV surveillance and public health response. 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.
Job Summary:  The Recency Data Manager will primarily be
responsible for maintaining a several in-country databases for all datasets
from recency studies, 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 Informatics Developers, Programmatic/MOH staff, and UCSF employees. In
addition to recency data, the Data Manager will also coordinate with CQI
Officers from various countries to manage continuous quality improvement (CQI)
data from supervision visits to facilities to ensure, for example, that the
RTRIs are being administered properly, informed consent is obtained, and that
all documentation is completed correctly.
Key Duties and Responsibilities: 
  • 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
  • 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
  • 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
  • Coordinating with the informatics team to ensure proper
    prioritization of minimal dataset development and fixing data quality
Performance Management
  • Communicate appropriate vs. inappropriate uses of datasets
  • Preparing publications on data
  • 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
  • Ensuring that technical guidelines for anonymization of datasets are
    followed for external data use while still maintaining data linkages
    across appropriate datasets
Key Result Areas:
Specifically, data
management encompasses the following dimensions of which the candidate applying
should have adequate knowledge and demonstrated application:
  • Data management: Collection, management, integration, analysis,
    visualizing and reporting, as well as supporting data use and
    interpretation of data in line with proper data management procedures and
    best practices using the SQL language.
  • Appropriate use: Ensuring privacy and confidentiality through the
    construction of minimum use data sets and guidance on appropriate
    statistical practices that achieves the objectives of an internal/external
    data user
  • Data security: Verifying data users as well as the implementation
    and documentation of appropriate administrative, technical, and physical
    safeguards for all data (along with appropriate penalties)
  • Data quality: Ensuring data standardization, verification and
    validation procedures are implemented and documented to ensure data
    accuracy, availability, timeliness, completeness, credibility, and solid
    understanding of its limitations
  • Public disclosure: Documenting all public data requests and ensuring
    appropriate communication between data stewards and data users for
    arranging data disclosure prioritization and procedures

Qualifications, Skills and Experience: 
  • The applicant must hold 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
  • At least five years of working experience managing active large
    study/surveillance datasets
  • Demonstrable experience with at least one of the following: Oracle,
    SQL Server, MySql, PostgreSQL
  • Previous experience with Continuous Quality Improvement (CQI)
  • Demonstrable experience in writing advanced SQL queries and
  • 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
  • Certification in one or more popular database management systems
    (DBA in Oracle, SQL Server or similar)
  • Experience with working in the health sector and/or research
  • Background in statistics and/or data analysis
How to Apply:
All candidates
should Email their updated CVs and application letters to Only electronic CV’s will be accepted.
Deadline: 15th September 2019  
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