: University of California, San Francisco (UCSF)
: Nonprofits / องค์กรไม่แสวงหาผลกำไร
: 815
: 30 July 2019
16 August 2019
Job Description
UCSF/RAI2E Research Data Manager, Thailand
Malaria Elimination Initiative (MEI)
University of California, San Francisco Global Health Group (GHG)
The Malaria Elimination Initiative (MEI)
The Malaria Elimination Initiative (MEI) at the University of California, San Francisco (UCSF) Global Health Group believes a malaria-free world is possible within a generation. The MEI brings the vision, strategy, and evidence-based approaches to catalyze action in countries and regions paving the way for global malaria eradication. As a forward-thinking partner on the malaria elimination frontline, the MEI generates evidence through operational research, develops new tools and approaches, documents and disseminates elimination experiences, builds consensus, assesses the costs and benefits of elimination, and strengthens political and financial commitment to shrink the malaria map. With support from the MEI’s highly-skilled team of economists, advocates, project managers, malariologists, and epidemiologists, countries around the world are actively working to eliminate malaria—a goal that nearly 30 countries will achieve by 2020. For more information about our approach and impact, visit www.shrinkingthemalariamap.org.
Project Background – UCSF RAI2E Operational Research Project
In the Greater Mekong Subregion (GMS), the risk of malaria infection is often due not to village-based transmission but rather to occupational and behavioral risk factors leading to exposure in forest settings. Additionally, a substantial portion of infections are asymptomatic and/or submicroscopic, limiting the scope of current diagnostics and surveillance approaches. Funded by the Global Fund to Fight AIDS, Tuberculosis and Malaria, the UCSF MEI RAI2E OR project in Lao PDR and Thailand is a randomized controlled trial assessing the effectiveness, cost-effectiveness, safety, acceptability, and operational feasibility of community-led active surveillance and response strategies to address these challenges: 1. reactive case detection (RACD) using highly sensitive RDTs (HS-RDTs) with specific targeting of forest working risk groups, and in Thailand only, 2. reactive focal mass drug administration (fMDA). This intervention will be implemented by village malaria workers (VMWs) and/or community volunteers and target both village-based populations and forest workers. Data collection will begin around September 2019 and continue through December 2020.
Research Data Manager Position
The MEI RAI2E Research Data Manager for Thailand is responsible for all data management activities, including database development, data collection, and effective maintenance of data quality, completeness, safety, and storage. This is a full-time, 18-month (with possible extension up to 24 months) position based in Nonthaburi, Thailand, requiring with regular travel to study districts in the provinces of Kanchanaburi, Mae Hong Son, Sisaket, Tak and Ubon Ratchathani. The data manager will carry out the following activities as outlined below:
Key Responsibilities
Data Management
Data storage
Data collection
Data quality, review, validation, and cleaning
Data analysis
Reporting, Writing, and Communication
Perform any other duties as assigned by project leads.
Organization Structure: The Research Data Manager will report to the Research Field Manager, based in Nonthaburi, Thailand.
Required Skills
Desired Skills
Period of employment: Starting in August 2019 until December 2020 (with possibility of 6-month extension)
Application instructions: Please send you a cover letter, CV and references to Timothy Finn, Senior Research Manager, at timothy.finn@ucsf.edu. Please include “UCSF/RAI2E Research Data Manager” in the subject of your email.
Application deadline: August 16, 2019
