Job Opportunity for Data Fellow, Capacity Accelerator Network at Poverty Action Lab in Delhi

About the Organization

The Abdul Latif Jameel Poverty Action Lab (J-PAL) is a global research center working to reduce poverty by ensuring that policy is informed by scientific evidence. Anchored by a network of 194 affiliated professors at universities around the world, J-PAL conducts randomized impact evaluations to answer critical questions in the fight against poverty. J-PAL South Asia, based at the Institute for Financial Management and Research in India, leads J-PAL’s work in the South Asia region. J-PAL South Asia conducts randomized evaluations, builds partnerships for evidence-informed policymaking, and helps partners scale up effective programs. Over more than ten years of existence, J-PAL South Asia has conducted 193 ongoing and completed randomized evaluations.

About the Project

The India Climate and Health Data Capacity Accelerator is a collaboration between J-PAL South Asia and data.org. The Accelerator aims to create a sustainable and scalable model to strengthen the data capacity of the social sector in India by providing social impact professionals and organizations with the tools they need to catalyze the application of data to address systemic challenges. Trained data professionals will be placed on carefully selected data projects across a variety of social impact organizations addressing priority policy issues at the intersection of climate and health.

Position Overview:

As a Climate and Health Data Accelerator Fellow, you will have the unique opportunity to work directly with a social impact organization on a curated climate and/or health data project. This fellowship is a year-long commitment and is an exciting opportunity for someone who is passionate about leveraging technology and data to drive positive change and wants to contribute to the growth and impact of innovative nonprofit organizations. You will play a pivotal role in advancing the organization’s mission and addressing pressing environmental and public health challenges through data-driven solutions.

Key Responsibilities: 

The Fellow will perform a variety tasks including, but not limited to:

Project Collaboration

• Collaborate with a social impact organization to understand their climate and/or health data needs and project goals.
• Work closely with the organization’s team to identify data sources, collect relevant data, and develop strategies for data analysis and interpretation.
• Apply your expertise in data analysis, data visualization, and statistical methods to uncover meaningful insights from the collected data.
• Assist in developing data-driven recommendations and solutions that address climate and health challenges.

Data Management and Analysis:

• Collect, clean, and organize climate and health data from various sources, ensuring data quality and accuracy.
• Ensure data security and privacy, and adherence to organizational / central data standards and policies.
• Utilize statistical software and data analysis tools to conduct rigorous analysis and modeling of climate and health datasets.
• Apply data visualization techniques to present findings in a clear and compelling manner, facilitating data-driven decision-making.

Project Management and Reporting:

• Develop and maintain project timelines, deliverables, and milestones, ensuring progress towards project goals.
• Prepare regular reports, presentations, and documentation to communicate project progress, findings, and recommendations to the organization and program stakeholders.
• Effectively communicate complex data concepts and findings to non-technical stakeholders in a clear and understandable manner. 

Research and Innovation:

• Stay up-to-date with the latest developments in climate and health data, including emerging datasets, research studies, and analytical techniques.
• Contribute to the identification of innovative data-driven approaches and methodologies to enhance the organization’s impact.
• Collaborate with fellow team members and stakeholders to explore new ideas, conduct literature reviews, and contribute to research publications.

Qualifications:

• Bachelor’s or Master’s degree in a relevant field (e.g., data science, environmental science, public health, epidemiology, or related disciplines).
• Minimum 1-2 years of relevant work experience.
• Strong background in data analysis, statistics, and data visualization.
• Proficiency in programming languages such as Python, R, or similar.
• Experience with data manipulation, cleaning, and preprocessing techniques.
• Familiarity with climate and health datasets, environmental monitoring systems, and public health data sources.
• Ability to work independently and collaboratively in a team-oriented environment.
• Excellent communication skills, both written and verbal, with the ability to present complex ideas to diverse audiences.
• Strong project management skills, with the ability to manage multiple tasks and prioritize effectively.
• Passion for addressing climate and health challenges and a commitment to social impact. 

Note: This is a one-year fellowship program, and fellows will be matched with specific purpose-driven data projects based on their skills, interests, and the project’s requirements. Fellows will receive mentorship and guidance throughout the program to support their professional and personal development.

We embrace diversity and inclusion and strongly encourage candidates from diverse backgrounds to apply.