Emory

Post Doctoral Fellow - Biostatistics

Job Number
67884
Job Type
Regular Full-Time
Division
School Of Public Health
Department
SPH: Biostatistics
Location : Name
Emory Campus-Clifton Corridor
This position may involve the following Health and Safety issues:
Not Applicable

Discover Your Career at Emory University

Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the diversity and excellence of our academic community.

Description

Duties & Responsibilities: The fellow will develop cutting-edge statistical methods for analyzing heterogeneous data modalities including newly emerging curve/image (functional) data and high-dimensional vector data under the guidance of Dr. Amita Manatunga . The fellow will participate in research activities such as development of statistical methodology, associated theory, computational tools, algorithm for the analysis and interpretation of data .

 

Analyze images, functional data and a large number of variables.  . Specific examples of methodological research include but not limited to:

  • Integrative analysis of heterogeneous data modalities (including functional and high-dimensional vector data) for accurate prediction of disease risk
  • Development of efficient clustering algorithms for images adjusting for their metadata
  • Non- and semi-parametric modelling of longitudinal image data
  • Reproducibility (agreement) studies on multiple heterogeneous images collected from different anatomic regions

Publications in peer-reviewed journals and presentations at scientific meetings are expected and encouraged.

 

Position Qualifications:   Candidates must hold a PhD, or equivalent, in statistics/biostatistics or relevant areas. Desired skills include proficiency in statistical computing (with R, C, Matlab, or Python), and expertise in some of the following areas. (1) functional data analysis; (2) high-dimensional data analysis; (3) predictive modeling; and (4) machine learning.

 

MINIMUM 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. Additional qualifications as specified by the Principal Investigator.

 

Emory Supports a Diverse and Inclusive Culture

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Emory University is dedicated to providing equal opportunities and equal access to all individuals regardless of race, color, religion, ethnic or national origin, gender, genetic information, age, disability, sexual orientation, gender identity, gender expression, and veteran's status. Emory University does not discriminate in admissions, educational programs, or employment on the basis of any factor stated above or prohibited under applicable law. Students, faculty, and staff are assured of participation in University programs and in the use of facilities without such discrimination. Emory University complies with Executive Order 11246, as amended, 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. Emory University is committed to achieving a diverse workforce through application of its affirmative action, equal opportunity and nondiscrimination policy in all aspects of employment including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Inquiries regarding this policy should be directed to the Emory University Department of Equity and Inclusion, 201 Dowman Drive, Administration Building, Atlanta, GA 30322.

 

Emory University is committed to providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to request a reasonable accommodation, please contact the Department of Accessibility Services at 404-727-9877 (V) | 404-712-2049 (TDD). Please note that one week advance notice is preferred.

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