Associate Research Scientist

The Department of Environmental Health Sciences at Columbia University Mailman School of Public Health is seeking an Associate Research Scientist with expertise in the field of AI/ML methods, infectious disease, data analytics, and computational modeling in health-related research.

The Associate Research Scientist will work on projects focusing on early detection and inference for emerging infectious agents, and more broadly, apply AI/ML methods in human health research. The ideal candidate will have a PhD in a quantitative field including but not limited to computer science, applied math, physics, statistics, epidemiology, and data science. Strong programming skills (Python or R) and good oral and written communication skills are required. Previous experience with AI methods and data science and at least one year postdoc training is required. A strong publication record and the ability to perform research independently are highly preferred. Experience applying AI methods in infectious disease research is a plus. The Associate Research Scientist will work in the research group based within Columbia University Mailman School of Public Health in New York City and join an interdisciplinary research team with expertise in mathematical modeling, Bayesian inference, network science, AI engineering, and data science. Competitive salary including full benefits will be provided commensurate with experience and qualifications. The initial appointment will be two years and can be extended depending on performance. Review will start now and the position will remain open until filled.

Responsiblities:

• Design, implement and validate computational models for early detection and inference of infectious diseases. (60%)
• Apply AI/ML methods to analyze human health data collected from experiments. (25%)
• Prepare, submit and revise manuscripts and research reports. (10%)
• Performs related duties & responsibilities as assigned/requested. (5%)

Minimum Qualifications:

• A PhD in a quantitative field including but not limited to computer science, applied math, physics, statistics, epidemiology, and data science.
• Strong programming skills and good oral and written communication skills are required.
• Previous experience with AI methods and data science and at least one year postdoc training is required.
• Experience working with real-world data is required.
• Ability to complete all training and certification in compliance with the policies of the Columbia University and federal and state regulations.

Preferred Qualificaitons:

A strong publication record and the ability to perform research independently are highly preferred. Previous experience applying AI methods in infectious disease research is a plus.

Columbia University is an Equal Opportunity Employer / Disability / Veteran

Pay Transparency Disclosure

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.