Post Doctoral Fellow - Researcher in Causal Inference

Emory • Atlanta, GA

15d • Onsite

About The Position

The Department of Biostatistics and Bioinformatics in the Rollins School of Public Health provides a supportive environment for postdoctoral scholars, offering access to mentoring, career development programming, and resources for professional growth. The postdoctoral researcher will have flexibility to develop their own research directions while benefiting from collaboration, computational support, and opportunities to participate in departmental seminars, working groups, and interdisciplinary research activities. This position is well suited for individuals preparing for academic careers in statistics, biostatistics, machine learning, or related fields. The postdoctoral researcher will be supervised by Dr. Razieh Nabi. For inquiries, please contact [email protected] . 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. The position emphasizes methodological innovation in modern causal inference, while also engaging with applications in areas such as infectious diseases, environmental health, and public health that help motivate and shape the research. 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. The researcher will have flexibility to develop a research agenda that aligns with their interests and expertise. Responsibilities include conducting original research, preparing manuscripts for publication, presenting findings at conferences or seminars, and participating in collaborative activities within the research group or with external partners. The postdoc will also have opportunities to mentor students and to engage in broader scholarly activities that support their professional development. 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.

Requirements

• 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.
• Additional qualifications as specified by the Principal Investigator.

Nice To Haves

• 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.

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
• Mentor students
• Engage in broader scholarly activities that support their professional development

What This Job Offers

• Career Level: Entry Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees