Post Doctoral Fellow - Researcher in Causal Inference

Job Description

We are seeking a Postdoctoral Researcher to contribute to both methodological and applied research in causal inference. The successful candidate will work on statistical and machine learning approaches for understanding causal relationships in complex data, with opportunities to pursue independent research as well as collaborative projects within the group.

Potential topics include causal effect estimation, mediation analysis, longitudinal or observational data structures, policy learning, and methods for informative censoring and missing data. Methodological work may draw on tools from nonparametric and semiparametric inference, machine learning, graphical models, and related areas.

Responsibilities

• Conducting original research
• Preparing manuscripts for publication
• Presenting findings at conferences or seminars
• Participating in collaborative activities within the research group or with external partners
• Mentoring students
• Engaging in broader scholarly activities that support professional development

Qualifications

• A doctoral degree or equivalent (Ph.D., M.D., ScD., D.V.M., DDS etc) in an appropriate field
• Excellent scientific writing ability and strong oral communication skills
• The ability to work effectively and collegially with colleagues

Preferred Qualifications

• PhD in Statistics, Biostatistics, Computer Science, Economics, or a related quantitative field
• Strong background in causal inference, statistical methodology, or machine learning
• Experience with nonparametric or semiparametric inference, graphical models, or high dimensional methods
• Familiarity with handling missing data, censoring, or longitudinal/observational data
• Demonstrated ability to conduct independent research and contribute to collaborative projects
• Strong programming skills, and experience with reproducible research
• Strong communication skills and a record of (or potential for) peer reviewed publications

Additional Details

This position is well suited for a researcher interested in advancing the theory or practice of causal inference, building a strong publication record, and working in a supportive and collaborative academic environment.

Position tasks are generally required to be performed in-person at an Emory University location. Remote work from home day options may be granted at department discretion.

Emory University is an equal opportunity employer, and qualified individuals will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law.