The Malawi ScanForm Support Technician at QED.ai plays a critical role in ensuring the effectiveness of HIV programs by providing technical support, monitoring data quality, and evaluating health services. Responsibilities include diagnosing issues, resolving technical tickets, and offering proactive support through remote communication. Additionally, this position involves conducting in-person training and mentorship to staff across health facilities, enhancing the overall effectiveness of the programs.

To qualify as a Malawi ScanForm Support Technician at QED.ai, candidates need to be residents of Malawi, with a minimum of five years of experience working as a Health Data Assistant (HDA) in health clinics or communities. Additionally, they should have three years of supervisory experience and be fluent in both English and Chichewa. Familiarity with ScanForm, knowledge of HIV guidelines, and strong communication and critical thinking skills are also essential.

Beneficial experience for a Malawi ScanForm Support Technician at QED.ai includes hands-on work in Malawian health clinics, where understanding local healthcare dynamics is key. Prior experience supervising Health Data Assistants is crucial, along with a strong grasp of data collection and management using tools like Excel. Familiarity with HIV testing protocols and data quality monitoring is also a significant advantage.

A successful Malawi ScanForm Support Technician should possess a combination of technical and interpersonal skills. Critical thinking, strong attention to detail, and effective communication in English and Chichewa are vital. Additionally, patience and emotional intelligence are important for training and mentoring health program staff, ensuring a collaborative and supportive working environment.

At QED.ai, the team culture is collaborative and mission-driven, focusing on positively impacting public health. The Malawi ScanForm Support Technician will find a community of passionate professionals who are dedicated to improving health care through innovative digital infrastructure. Team members are encouraged to express their ideas and contribute to the overall mission while supporting one another in achieving shared goals.

When discussing the ScanForm system during your interview, highlight your understanding of its purpose in data collection and health monitoring. Explain how you've utilized it in past roles to enhance data accuracy and quality in health programs, demonstrating your technical knowledge and hands-on experience.

In your response, provide specific examples of your roles and responsibilities in Malawian health clinics. Talk about the types of programs you participated in, your interaction with community members, and how you contributed to improving health outcomes and data quality. This will showcase your relevant experience and your commitment to public health.

To address this question, discuss your approach to problem-solving in scenarios where data discrepancies or technical issues arise. Emphasize your analytical skills and the steps you take to diagnose problems, whether through direct communication with the teams involved or by utilizing data-driven evidence to resolve issues.

Highlight any instances where you've provided training or mentorship to colleagues, particularly in health data collection or management. Discuss specific training programs you led, the skills imparted, and the impact these had on the teams and programs you supported.

Explain your strategies for maintaining clear and effective communication with health staff. This could include techniques like active listening, using simple and direct language, and providing regular feedback. Mention how this communication fosters collaborative relationships and boosts data accuracy.

Discuss your previous roles involving data quality monitoring in health programs. Explain the methods and tools you employed to assess data quality and how you implemented corrective actions to improve accuracy. Providing metrics or success stories from your experience can strengthen your response.

Answer by explaining how emotional intelligence helps you navigate interpersonal relationships within healthcare settings. Describe how understanding the needs and emotions of clients and team members has allowed you to provide better support, mentorship, and ultimately improve data collection efforts.

Share your approach to prioritization, emphasizing your ability to assess urgency versus importance. Discuss tools or techniques you use to keep organized, such as to-do lists or project management software, enabling you to efficiently manage multiple responsibilities while maintaining quality standards.

Offer practical advice for newcomers, such as the importance of learning the local health systems, being proactive in seeking guidance, and developing strong interpersonal skills. Recommend engaging with experienced colleagues and taking advantage of training opportunities for continuous learning.

In your response, express your alignment with QED.ai's mission to improve health outcomes in Sub-Saharan Africa. Highlight what excites you about being part of such impactful work, mentioning any specific projects or values of the organization that resonate with you personally and professionally.