Postdoctoral Fellow

Description

The Postdoctoral Fellow applicant will work in conjunction with the Principal Investigator to lead the Sex-Based Precision Medicine Research Core (SPMRC). The SPMRC will promote and support sex- and gender-based precision medicine (SPM) research at the Tulane Center of Biomedical Research Excellence in Sex-Based Precision Medicine (COBRE in SPM), assist Research Project Leaders (RPLs) and Pilot Project Leaders (PPLs) in obtaining independent research funding, and serve the broader scientific community by performing high-impact, sex-based biology and precision medicine (SPM) research.  The study of sex and gender differences is a discipline in itself, with its own concepts and methods that apply across cells and tissues as well as clinical and population health. This critical aspect of SPM requires the use and knowledge of quantitative methods including biostatistics, epidemiology, and bioinformatics to design and analyze studies to assess the interactions of sex and gender with race, age, and social determinants of health (e.g., occupational hazards, lifestyle, social stresses, access to healthcare).

Qualifications

REQUIRED EDUCATION AND EXPERIENCE: (Note:  Only the following two criteria—one education and one experience—will be used for screening qualified applicants.)

1.       PhD in Biomedical Informatics, Bioinformatics, Genetics, Computer Science, Statistics, Mathematics, or a related science and engineering field.

2.       Experience with clinical informatics and bioinformatics.

REQUIRED KNOWLEDGE, SKILLS, ABILITIES/COMPETENCIES TYPICALLY NEEDED TO PERFORM THIS JOB SUCCESSFULLY:  (Note: The following criteria will not be used in screening qualified applicants but may be considered in the final decision-selection process of candidates interviewed.)

1.       Computer programming experience in a statistical programming language such as R and a scripting language such as Python or Perl.

2.       Experience with analysis of real-world data using advanced machine learning techniques.

3.       Experience analyzing large genomic data sets.

4.       Experience in epidemiology studies and/or population genetics.

PREFERRED QUALIFICATIONS:  (Note: The following criteria will not be used in screening qualified applicants and may not be used in lieu of minimum qualifications stated above.)

1.    Expertise in statistics and machine learning.

Application Instructions

Applicants must apply via Interfolio.  

Equal Employment Opportunity Statement

Tulane University is an equal opportunity educator and employer committed to providing an education and employment environment free of unlawful discrimination, harassment, and retaliation.   Legally protected demographic classifications (such as a person’s race, color, religion, age, sex, national origin, shared ancestry, disability, genetics, veteran status, or any other characteristic protected by federal, state, or local laws) are not relied upon as an eligibility, selection or participation criteria for Tulane’s employment or educational programs or activities.

Tulane University is responsible for providing reasonable accommodations to individuals with disabilities throughout the applicant screening process. If you need assistance in completing an application or during any phase of the interview process, please contact the Office of Human Resources by phone at 504-865-4748 or by email at hr@tulane.edu.