Four (4) - Data Analytics Fellows - Malaria - Central Africa Republic - Democratic Republic of Congo - Nigeria

Four (4) - Data Analytics Fellows - Malaria - Central Africa Republic - Democratic Republic of Congo - Nigeria

PATH Abuja Confidential

• Minimum Qualification :

Job Description/Requirements

PATH current employees - please log in and apply Here PATH is a global nonprofit dedicated to achieving health equity. With more than 40 years of experience forging multisector partnerships and with expertise in science, economics, technology, advocacy, and dozens of other specialties, PATH develops and scales up innovative solutions to the worlds most pressing heath challenges. PATH is home to the Malaria Control and Elimination Partnership in Africa (MACEPA) which works closely with National Malaria Control Programs to strengthen data systems and data use to better inform strategies and targeting of resources to reduce malaria burden. Key components of this work include supporting National Malaria Programs in developing their Global Fund funding requests and national strategic plans, providing technical guidance that leads to high quality implementation of key interventions, and to ensure the resources needed to implement malaria control/elimination interventions are available. MACEPA is currently recruiting the second cohort of Data Analytics Fellows, each to be based within existing MACEPA teams, one (1) in Bangui, Central Africa Africa Republic, one (1) in Kinshasa, Democratic Republic of Congo and two (2) in Abuja, Nigeria. The fellow will be recruited and based in one of the above countries s/he originates from. The aim of the fellowship program is to train a cohort of skilled individuals to support the National Malaria Programs (NMPs) in the management, visualization and analysis of data to improve evidence-based decision-making. The fellow will receive a variety of tailored technical and professional training, alongside mentorship from the MACEPA data analytics team based in the US and in-country staff. By the end of the fellowship, a fellow will ultimately deliver data analytics training to NMPs in collaboration with the analytics team. The position is a fixed-term, non-renewable, two-year contract. Responsibilities:

• Support NMP and partners to assemble and manage data repositories.
• Design and implement evaluations of routine surveillance, intervention, and commodity data to inform decision-making.
• Produce monthly reports describing the malaria situation based on the analyses of routine data and other relevant datasets.
• Develop dashboards for the visualization of routine data.
• Build strong relationships with the NMP and respond to requests for data investigations and analyses relevant to key programmatic issues.
• Contribute to and support the facilitation of data review meetings with the NMP.
• Undertake structured training across a range of core areas including advanced data analytics, malaria epidemiology, presentation and report writing.
• Deliver capacity strengthening in data analytics training to the NMP and local partners.
• Support data aspects of Sub-National Tailoring (SNT) including assembling, cleaning, processing and visualizing data, and contributing to SNT meetings.
Maintain regular communication with US-based data analysis team, data analytics fellows cohort, and MACEPA in-country teams.

Required Skills and Experience:

• Masters degree in public health, epidemiology, health-related data science or similar field preferred, plus at least one year of relevant quantitative experience.
• Experience in data management, cleaning, analysis, mapping, and visualization (ideally in R).
• Demonstrated oral and written communications skills, including report/paper writing and editing.
• Experience preparing and delivering presentations.
• Excellent organization, time management, attention to detail, ability to appropriately prioritize competing tasks, manage shifting priorities, and meet deadlines.
• Ability to work in a collaborative environment and as part of a cross-disciplinary team.
• Ability to work independently when required - including undergoing trainings, leading interactions with NMPs, independent problem solving.
• Ability to interact with global colleagues and partners and provide creative solutions in a professional manner.
• Willingness and ability to travel, estimated at 10% of the time.
• French language necessary for CAR and DRC posting, and a plus for the other posting.
• Female candidates are strongly encouraged to apply for this position
• Experience working with DHIS2 or similar national surveillance database
• Experience developing, delivering or supporting training courses
Experience using github (please share your github url with your application if you feel comfortable)

PATH is dedicated to building an inclusive workforce where diversity is valued. PATH is an equal opportunity employer. Every qualified applicant will be considered for employment. PATH does not discriminate based on race, color, religion, caste, gender, sexual orientation, gender identity, genetic information, age, national origin, marital status, disability status, political ideology, military or protected veteran status, or any other characteristic protected by applicable federal, state, or local law. <