Causalab
We generate, analyze, and interpret health data so that decision makers - patients, clinicians, regulators, policy makers can make better decisions. By combining sound methodology and AI with high-quality data, we produce actional causal inference with real-world impact. We also train the next generation of investigators and methodologists at Harvard T.H. Chan School of Public Health.
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Verified contacts
16
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LinkedIn employees
25
11 to 50 range
Open roles
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no listings
Distinct roles
11
indexed titles
Tech stack
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tools in use
Monthly traffic
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Decision-makers and verified team members
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Top roles at Causalab
11 distinct titles indexed · top 10 shown.
- 2assistant director of projects & operations
- 2postdoctoral fellow
- 2postdoctoral research collaborator
- 2research associate
- 1department associate
- 1instructor
- 1phd researcher
- 1post-doctoral fellow
- 1postdoctoral researcher
- 1program assistant
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