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Yale University

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Postdoctoral Associate in Public Health Data Science and Data Equity at Yale Yale University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

No explicit funding details are provided, but the position is a paid postdoctoral associate role at Yale School of Public Health.

Deadline

Expired

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Country

United States

University

Yale University

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Keywords

Computer Science
Data Science
Biostatistics
Cancer Research
Salud Pública
Statistics
Bioinformatic
Electronic Health Record

About this position

The Yale School of Public Health and Department of Biostatistics are seeking a Postdoctoral Associate to join the Public Health Data Science and Data Equity at Yale (DSDE) team, led by Dr. Bhramar Mukherjee. This opportunity is ideal for candidates with a PhD in Biostatistics, Statistics, Data Science, Computer Science, Bioinformatics, or related fields. The position focuses on advancing public health through data science and equity, with research areas including electronic health records (EHR), real-world data, cancer, and cardiovascular disease.

Responsibilities include developing methods and tools for EHR analysis, collaborating with leading faculty in disease research, contributing to both methodological and collaborative research, and supporting grant writing and professional development. The role offers flexible hybrid arrangements in New Haven, CT, and is designed to build a strong foundation for a research career in academia, government, or industry.

Applicants should demonstrate expertise in relevant fields, strong collaborative skills, and an interest in public health data equity. The DSDE team is committed to empowering public health through innovative data science approaches. Application is via Interfolio, and candidates are encouraged to review the requirements and submit materials online.

For more information, visit the DSDE LinkedIn page or the Yale School of Public Health website. The position is a paid postdoctoral associate role, though specific funding details are not provided.

Funding details

No explicit funding details are provided, but the position is a paid postdoctoral associate role at Yale School of Public Health.

What's required

Applicants must hold a PhD in Biostatistics, Statistics, Data Science, Computer Science, Bioinformatics, or a related field. Experience with electronic health records, real-world data, and collaborative research in cancer or cardiovascular disease is preferred. Strong methodological and grant writing skills are advantageous.

How to apply

Apply online via Interfolio at the provided link. Prepare your application materials as required by Yale School of Public Health. Follow instructions on the application portal.

More information can be found here

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