Postdoctoral Fellow: Causal Inference & Health Data

University of Houston; Houston (TX); On-site; USD 60,000 - 80,000; Full time

Job summary

The University of Houston, College of Pharmacy, invites applications for a full-time postdoctoral fellowship focused on estimating causal treatment effects using large health data. The Population Health Outcomes and Pharmacoepidemiology Education and Research Center (P-HOPER Center) leads this effort.

You will analyze large-scale observational electronic health records and claims data, lead manuscript preparation, and present findings at national and international conferences; two-year

Qualifications

• Ph.D. in Pharmaceutical health outcomes, (Pharmaco)epidemiology, Biostatistics, or related field.
• Strong capabilities in quantitative healthcare data analysis.
• Experience with large health data sources (claims, EHR, registry).
• Experience with machine learning and deep learning is a plus.

Responsibilities

• Review progress and evaluate results of experiments or projects.
• Recommend changes in research, testing or procedures.
• May manage a highly technical research equipment.
• Plan and assign personnel to projects.
• Analyze large-scale observational EHR and claims data.
• Lead manuscript preparation and present findings at national and international conferences.
• Collaborate with cross-disciplinary teams.
• Maintain compliance with security checks and institutional policies.

Skills

Quantitative healthcare data analysis

Machine learning / deep learning

Health outcomes research

Education

Ph.D. in Pharmaceutical health outcomes / pharmacoepidemiology / biostatistics

Job description

The University of Houston, College of Pharmacy, invites applications for a full-time postdoctoral fellowship focused on estimating causal treatment effects using large health data. The Population Health Outcomes and Pharmacoepidemiology Education and Research Center (P-HOPER Center) leads this effort.

You will analyze large-scale observational electronic health records and claims data, lead manuscript preparation, and present findings at national and international conferences; two-year