Post-Doctoral Research Fellow

Medicine-Center for Biomedical Informatics & Genomics

Tulane University

Tulane University is a comprehensive research university in New Orleans, Louisiana. Tulanians see challenges as opportunities, and strive to improve the lives of others in our own community and around the globe.

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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

Equity, diversity, and inclusion are fundamental to advancing intellectual rigor, learning, and scholarship. Tulane University is committed to creating a community and culture that foster a sense of belonging for all. We do not discriminate on the basis of age, shared ancestry, color, disability (and including mental disorder, learning disability, physical disability), gender, gender expression, gender identity, genetic information, marital status, military status, national origin, pregnancy, race, religion, sex, sexual orientation, veteran status, or any other status or classification protected by federal, state, or local law. In fact, our commitment extends beyond mere compliance with the law.

We encourage all qualified candidates to apply. We are intentionally seeking candidates who are committed to fostering equity, diversity, and inclusion in support of Tulane’s Strategy for Tomorrow.

We are committed to providing access and opportunity for disabled persons to participate in their educational pursuit or employment. Information on services provided by Tulane to prospective and current students with a disability can be obtained by contacting goldman@tulane.edu. Faculty and staff in need of an accommodation may contact ADAaccess@tulane.edu. Prospective employees in need of an accommodation during the application or recruitment process may contact  tulanecareers@tulane.edu.

Questions regarding Title IX, Section 504, or any other non-discrimination policies can be directed to these offices: Office of Institutional Equity by email: oie@tulane.edu or telephone: 504-862-8083; Title IX Office, Julia Broussard, Assistant Provost for Title IX Compliance and Education by email: jbrouss@tulane.edu or telephone: 504-865- 5611; and The Office of Campus Accessibility, Andrea Vassar, Executive Director for Campus Accessibility and ADA/504 Coordinator by email:  ADAaccess@tulane.edu or telephone: (504) 247-1774.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Big Data Biology Chemistry Classification Computer Science Drug discovery Engineering Julia Machine Learning Mathematics ML models Perl PhD Python R Research Statistics

Region: North America
Country: United States

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