Postdoctoral Fellow: EHR & Omics Data Science & Prediction

Statistics Interest Group

New York (NY)

Hybrid

USD 65,000 - 90,000

Full time

14 days+

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Job summary

Columbia University is inviting applications for a Postdoctoral Associate position in the Department of Biostatistics, Mailman School of Public Health.

The role focuses on developing new statistical, computational and deep learning methods for analyzing electronic health records (EHR) data and various omics data, with the goal of predicting patient outcomes and understanding disease subtypes and associations.

Qualifications

  • PhD in statistics, biostatistics, computer science, informatics or related field.
  • Strong quantitative research background.
  • Excellent computational and communication abilities.

Responsibilities

  • Develop new statistical, computational and deep learning methods for analyzing electronic health records (EHR) data and high‑dimensional omics data.
  • Create patient prediction tools and identify disease subtypes and associations.
  • Collaborate with researchers to advance methodological developments and applications.

Skills

Computational skills
Communication skills

Education

PhD in statistics/biostatistics/computer science/informatics

Job description

This is a current listing of job announcements related to Statistics.To submit a job for posting please use the Statistics Job Submission Form . Please note that jobs are posted within 24hrs of submission. If you have any questions, comments, or need to make acorrectionregarding your job announcement, please contact jobs@stat.ufl.edu .

Columbia University – Postdoctoral Associate
Position Title Postdoctoral Associate
Company Information
Duties and Responsibilities

We are inviting applicants to a postdoctoral associate position emphasizing the development of new statistical, computational and deep learning methods for analyzing electronic health records (EHR) data, multiple types of omics data including genomics, epigenetics, and exposomics data. More specifically, our work focuses on the new statistical and computational approaches using EHR data and high-dimensional omics data to develop patient prediction tools and to identify disease subtypes and disease associations.

Position Qualifications

The candidate should have a doctoral degree in statistics, biostatistics, computer science, informatics or other related fields. Candidates with strong quantitative research background and experience working with large scale data are desirable. Strong computational and communication skills are essential.

Salary Range based on applicants’ qualification

With benefits associated with Officers of Research as outlined in Columbia University’s Benefits in Brief http://www.hr.columbia.edu/hr/benefits/page-section.html.

Application Instructions

Please submit a brief statement of interest, CV, contact information for 3 references to Shuang Wang sw2206@columbia.edu.

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