Post-Doctoral Research Fellow >>>

Tulane University School of Medicine; Center (IN); On-site; USD 40,000 - 65,000; Full time

Job summary

Tulane University School of Medicine seeks a Postdoctoral Fellow for the Center for Biomedical Informatics and Genomics. This role involves developing databases and machine learning tools for drug efficacy predictions and side effects analysis, contributing to innovative research on human health. Candidates should possess a PhD in a relevant field, with programming proficiency and experience in cheminformatics.

Qualifications

• PhD in a related science or engineering field required.
• Experience in cheminformatics modeling and machine learning tools.

Responsibilities

• Develop databases and machine learning models for drug side effects prediction.
• Create web-based data/model sharing toolkits.
• Work with public big data in drug discovery.

Skills

Proficiency in R

Proficiency in Python

Proficiency in Perl

Analysis of chemical data

Machine learning

Statistical expertise

Education

PhD in Chemistry

PhD in Biology

PhD in Computer Science

PhD in Statistics

PhD in Mathematics

Job description

Tulane University: Health Sciences: School of Medicine: Clinical Science Departments: Medicine: Medicine - Center for Biomedical Informatics and Genomics

Location

Medicine-Center for Biomedical Informatics & Genomics

Open Date

May 13, 2025

Description

The Postdoctoral Fellow will work 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 diseases. Hao Zhulab at Tulane focuses on using public big data and informatics tools to study new drugs and drug candidates for their potential impact on human health.

Qualifications

• PhD in Chemistry, Biology, Computer Science, Statistics, Mathematics, or a related science and engineering field.
• Experience with cheminformatics modeling and machine learning tools.

Required Knowledge, Skills, Abilities:

• Proficiency in computer programming languages such as R and Python or Perl.
• Experience analyzing chemical data, such as high throughput screening data, in toxicology studies and/or drug discovery.
• Expertise in statistics and machine learning.

Application Process

This institution uses Interfolio's Faculty Search platform. Applicants will receive a free Dossier account to submit all application materials, including confidential letters of recommendation, at no cost.

Tulane University is an equal opportunity employer committed to providing an environment free of discrimination, harassment, and retaliation. Protected demographic characteristics such as race, color, religion, age, sex, national origin, disability, genetics, veteran status, or other legally protected traits are not used as criteria for employment or education decisions.

Reasonable accommodations are available for individuals with disabilities during the application and interview process. For assistance, contact the Office of Human Resources at 504-865-4748 or [e-mail].