Application Guide

How to Apply for Data Analyst, Infectious Disease – Tuberculosis

at Path

🏢 About Path

PATH is a global nonprofit dedicated to improving health equity, with a strong focus on infectious diseases like tuberculosis (TB). Working here means contributing to life-saving interventions in low-resource settings, backed by decades of expertise and partnerships with governments and organizations worldwide.

About This Role

As a Data Analyst focused on TB, you will transform complex epidemiological data into actionable insights that shape program strategies and health outcomes. Your dashboards and reports will directly influence how PATH combats TB in India, making your work critical to saving lives.

💡 A Day in the Life

You might start by pulling TB case notification data from a national database, cleaning it in Python, and then updating a Power BI dashboard for the program team. By afternoon, you'd meet with field coordinators to discuss data discrepancies and brainstorm ways to improve reporting, then draft a brief report on treatment outcomes for stakeholders.

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🎯 Who Path Is Looking For

  • You have a Bachelor's in public health, epidemiology, or statistics, with coursework or experience specifically in infectious disease epidemiology, especially TB.
  • You are proficient in SQL, Python, or R for data cleaning and analysis, and have hands-on experience building interactive dashboards in Tableau or Power BI.
  • You understand TB surveillance data, including case notification, treatment outcomes, and drug resistance patterns, and can interpret them for programmatic decisions.
  • You thrive in cross-functional teams, communicating data insights clearly to non-technical stakeholders, and are committed to data quality and ethical use.

📝 Tips for Applying to Path

1

Highlight any experience you have with TB or other infectious disease datasets (e.g., from academic projects, internships, or previous jobs) explicitly in your resume.

2

Tailor your portfolio or work samples to include data visualizations or analyses related to public health, preferably TB or infectious diseases.

3

In your cover letter, mention specific PATH TB initiatives (e.g., projects with India's Revised National TB Control Program) to show you've researched their work.

4

Use metrics in your resume: e.g., 'analyzed 10,000+ patient records to identify treatment adherence patterns' instead of just 'analyzed data'.

5

If you have experience with DHIS2 or other health information systems common in India, emphasize it – it's a strong plus for this role.

✉️ What to Emphasize in Your Cover Letter

["Your passion for using data to combat TB in India and alignment with PATH's mission of health equity.", "Specific examples of how you've used SQL/Python/R to analyze complex health data and created dashboards that drove decisions.", 'Your understanding of TB epidemiology, including key indicators like treatment success rate and lost-to-follow-up.', 'Your ability to collaborate with diverse teams (e.g., clinicians, program managers) to ensure data quality and actionable insights.']

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Read about PATH's current TB projects in India, especially their work under the Stop TB Partnership or with the Indian government.
  • → Familiarize yourself with India's National Strategic Plan for TB Elimination 2017-2025 and key targets.
  • → Look into PATH's use of data for impact: e.g., their data-driven approach to improving TB diagnosis and treatment adherence.
  • → Check recent PATH publications or blog posts on TB data analytics to understand their terminology and priorities.

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Describe a time you cleaned a messy dataset from a public health program – what challenges did you face and how did you ensure accuracy?
2 How would you design a dashboard to track TB treatment outcomes across multiple districts in India?
3 Explain how you would handle missing data in a TB surveillance dataset and its implications for analysis.
4 What are the key epidemiological indicators for TB control, and how would you use them to evaluate program effectiveness?
5 How do you prioritize competing requests from different stakeholders (e.g., data requests from field teams vs. headquarters)?
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⚠️ Common Mistakes to Avoid

  • Failing to mention any specific TB or infectious disease experience – generic data analysis examples won't stand out.
  • Overlooking data quality issues – not addressing how you handle incomplete or inconsistent data can be a red flag.
  • Ignoring the global health context – treating this as a standard data analyst role without understanding the impact on vulnerable populations.

📅 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 Path!

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