Post Doctoral Fellow - Researcher in Causal Inference

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Description

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. StartFragmentThe postdoctoral researcher will be supervised by Dr. Razieh Nabi. For inquiries, please contact [email protected] . EndFragment

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.

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.

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.
• NOTE: 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 reserves the right to change remote work status with notice to employee.

Additional Details

Emory is an equal opportunity employer, and qualified applicants 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. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training.

Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities).

Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: 404-727-9867 (V) | 404-712-2049 (TDD).

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