Organization: FIND accelerates equitable access to reliable diagnosis around the world. We are working to close critical testing gaps that leave people at risk from preventable and treatable illnesses, enable effective disease surveillance, and build sustainable, resilient health systems. In partnership with countries, WHO and other global health agencies, we are driving progress towards global health security and universal health coverage. We are a WHO Collaborating Centre for Laboratory Strengthening and Diagnostic Technology Evaluation. For more information, please visit www.finddx.org

Project Overview: India continues to carry a high burden of tuberculosis, with significant gaps in early detection and linkage to care, particularly in rural districts such as Nalanda in Bihar. Limited access to diagnostic services, low community awareness, social stigma, and weak referral mechanisms contribute to delayed and missed diagnoses, resulting in continued transmission and poor health outcomes. At the same time, emerging digital health innovations offer an opportunity to strengthen community-based service delivery and improve case-finding efficiency. This project aims to demonstrate an integrated, AI-enabled model for TB and respiratory disease screening that combines community engagement, digital diagnostics, and strong linkages with the National TB Elimination Programme (NTEP). The primary objectives are to enhance early and accurate TB detection, improve referral and treatment initiation, promote community acceptance of digital health tools, and generate evidence for scalable and sustainable models that can inform district and state-level programming.

Role and Responsibilities:

• Coordinate with NTEP/NHM programme staff (STS, TB HV, ASHA etc.), village representatives and organise TB screening at household level by community volunteers (Providing the line-list of homes in the village, meeting with village representatives for organising the active case finding activities, sharing information about the list of health facilities for testing/treatment of TB and non-TB respiratory diseases).
• Provide training to community volunteers about project objectives, use of AI-cough sound app, data entry in ODK app.
• Supervise the TB screening, referral linkage, TB diagnosis, TB treatment and adherence follow up, and referral for non-TB respiratory disease by community volunteers
• Liaise with NTEP facilities for Xray/TB diagnostic evaluations and in private Xray facilities (if required).
• Coordinate with community volunteers for TB tests of all presumptive TB cases, initiation of TB treatment among those diagnosed with TB and adherence monitoring for patients initiated on TB treatment.
• Support community volunteers in linkage of non-TB patients to care for respiratory diseases in identified health facilities.
• Organize the health camp for TB awareness at community level.
• Responsible for maintaining data quality and completeness in ODK app and AI cough app
• Review of submitted data by community volunteer (with support of project MIS), before release of incentives.
• Directly responsible for community volunteers activities and attendance.
• Assist community volunteers in solving day-to-day operational challenges
• Conduct monitoring visits to validate a proportion of the key indicators reported
• Participate in project review meetings at the district level and present the project achievements.
• Focal point to represent the project at village/block level and share project achievements.
• Ensure adherence to M&E plan and implementation plan
• Report to District Lead on the progress against the targets as per agreed timelines

Skills and Experience Required:

• Education qualification - Graduate or above, MSW preferred
• Prior work experience of 3 years in public health will be preferred
• Proficiency in local language, Basic knowledge of English (written) is required
• Effective communications skills
• Empathy and dedication
• Must have two-wheeler with valid driving license

Number of vacancies: Five (05)

Deadline to share your application: Please apply by 28th February 2026

But don't wait until the deadline! We will start screening right away and if we find the right person, we will stop searching.

Please note that due to the high volume of applications, ONLY short-listed candidates will be contacted. FIND is dedicated to building an inclusive workforce where diversity is valued. FIND is an equal opportunity employer. Every qualified applicant will be considered for employment. FIND does not discriminate based on race, colour, religion, gender, sexual orientation, gender identity, genetic information, age, national origin, marital status, pregnancy, disability status, political ideology, military status, or any other attribute protected by applicable law.