Application Guide

How to Apply for Data Scientist, Scaling Immunisation with OCR and AI

at Notify Health

🏢 About Notify Health

Notify Health is a nonprofit dedicated to increasing childhood vaccination coverage through reminder messages. Their unique focus on leveraging OCR and AI to digitize immunization records directly addresses a critical bottleneck in global health, making this a mission-driven opportunity to apply data science for social impact.

About This Role

As a Data Scientist on this project, you will build and test OCR/AI prototypes to automate the extraction of caregiver contact information from immunization record photos. Your work will streamline data digitization, enabling more effective vaccination reminders and ultimately saving lives.

💡 A Day in the Life

A typical day might start with reviewing a batch of immunization record photos to assess quality, then iterating on an OCR pipeline to improve extraction accuracy. You'd likely spend time coding prototypes, testing with real data, and comparing results against human-reviewed entries, with check-ins via Slack with the remote team.

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🎯 Who Notify Health Is Looking For

  • Hands-on experience with OCR tools (e.g., Tesseract, Google Cloud Vision) and AI models for text extraction from images, especially handwritten or low-quality photos.
  • Proven ability to build lean prototypes quickly and iterate based on accuracy comparisons with human reviewers.
  • Strong understanding of data digitization workflows, including image quality assessment and data validation.
  • Experience working in resource-constrained settings or with global health data is a plus.

📝 Tips for Applying to Notify Health

1

Highlight any projects where you built OCR or AI prototypes for data extraction from images, especially in healthcare or low-resource environments.

2

Show your process for evaluating model accuracy against human performance—include metrics like precision, recall, and F1 score.

3

Tailor your resume to emphasize prototyping speed and ability to work with imperfect data (e.g., blurry photos, varied formats).

4

Mention any familiarity with immunization data or public health registries; even a brief mention shows alignment.

5

Submit a short cover letter that directly references Notify Health's mission and how your skills can accelerate their OCR/AI goals.

✉️ What to Emphasize in Your Cover Letter

['Your passion for using data science to solve global health challenges, specifically vaccine equity.', "Concrete examples of OCR/AI projects you've led, including challenges with photo quality and how you addressed them.", 'Your ability to work independently in a remote, nonprofit setting with limited resources.', 'How your work will directly enable Notify Health to reach more caregivers and increase vaccination rates.']

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Read Notify Health's blog or case studies to understand their current vaccination reminder programs and data challenges.
  • → Look into the specific immunization registries they work with (e.g., in low-income countries) to appreciate data quality issues.
  • → Explore their open-source tools or GitHub repositories if available to see existing tech stack.
  • → Review recent publications on OCR for healthcare in low-resource settings to understand best practices.
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💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Walk me through a time you built an OCR prototype. What tools did you use and how did you measure success?
2 How would you handle a dataset where many immunization record photos are blurry or partially obscured?
3 Describe your approach to comparing model accuracy against human reviewers. What metrics matter most?
4 How do you prioritize features when building a lean prototype with limited time and resources?
5 What experience do you have with data privacy and security in handling personal health information?
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⚠️ Common Mistakes to Avoid

  • Focusing too much on complex deep learning models when simpler OCR tools may be more practical for this use case.
  • Ignoring the importance of data privacy and security in health data—failing to mention HIPAA or equivalent standards.
  • Submitting a generic application without referencing Notify Health's specific mission or the immunization context.

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

Ready to Apply?

Good luck with your application to Notify Health!

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