Postdoctoral Fellow: Causal Inference & Health Data

Case Western Reserve University; Cleveland (OH); On-site; USD 52,000 - 68,000; Full time

Job summary

A prestigious university in Cleveland is seeking a highly motivated postdoctoral scholar to join the Clinical Application and Statistical Learning Lab. This role will focus on developing statistical methods for causal inference and data integration in large-scale healthcare data. The position requires a doctorate in a quantitative field, proficiency in statistical programming using R or Python, and at least two years of relevant experience. Responsibilities include leading data analyses, engaging in collaborative research, and co-leading manuscript preparation.

Qualifications

• Doctorate in statistics, biostatistics, mathematics, data science or related field.
• At least two years of experience in biostatistics or related areas.
• Proficiency in statistical programming, preferably R or Python.
• Excellent communication skills.

Responsibilities

• Develop and implement statistical methods in causal inference and data integration.
• Lead data analyses for NIH funded grant projects.
• Conduct simulation studies to support new grant submissions.
• Engage in collaborative research in various diseases.
• Co-lead manuscript preparation and supervise students.

Skills

Statistical programming

Data integration

Causal inference

Longitudinal data analysis

Survival analysis

Risk prediction

High-dimensional data analysis

Education

Doctorate in statistics, biostatistics, mathematics, data science or related quantitative field

Tools

R

Python

Job description

A prestigious university in Cleveland is seeking a highly motivated postdoctoral scholar to join the Clinical Application and Statistical Learning Lab. This role will focus on developing statistical methods for causal inference and data integration in large-scale healthcare data. The position requires a doctorate in a quantitative field, proficiency in statistical programming using R or Python, and at least two years of relevant experience. Responsibilities include leading data analyses, engaging in collaborative research, and co-leading manuscript preparation.