Description

Description

The Postdoctoral Fellow applicant will work in conjunction with the Principal Investigator to develop databases, machine learning models, predictive tools and web-based data/model sharing toolkits for drug side effects, efficacy predictions and designing new medicines for various human related diseases. Hao Zhu lab at Tulane focuses on investigating the use of public big data and informatics tools to study new drugs and drug candidates for their potential impact on human health.

Qualifications

1. PhD in Chemistry, Biology, Computer Science, Statistics, Mathematics, or a related science and engineering field.

2. Experience with cheminformatics modeling and associated machine learning tools.

Required Knowledge, Skills, Abilities:

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 chemical data (such as high throughput screening data) in toxicology studies and/or drug discovery.

3. Expertise in statistics and machine learning.

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.