Postdoc: Biomedical Informatics — Multi-Omic ML/AI

Harvard University; Boston (MA); On-site; USD 55,000 - 75,000; Full time

Job summary

Harvard University seeks a Postdoctoral Fellow in Biomedical Informatics within the Patel Lab. The ideal candidate will have a Ph.D. or M.D./Ph.D. and demonstrate expertise in large-scale analysis and health-related datasets. Responsibilities include conducting large-scale analyses, developing methods for multi-omic integration, and applying machine learning techniques. The position is a one-year term, with salary based on experience post-Ph.D., and offers a supportive research and collaborative environment.

Qualifications

• Ph.D. or M.D./Ph.D. in Data Science, Statistics, Computer Science, Epidemiology, Environmental Health, or a related field.
• Demonstrated expertise in large-scale analysis and familiarity with health-related datasets.
• Experience in multi-omic integration, machine learning or AI is strongly desired.

Responsibilities

• Conduct large-scale analyses of health-related datasets.
• Develop novel methods for multi-omic integration.
• Apply machine learning and AI techniques.
• Apply for fellowship funding and contribute to writing grants.
• Participate in teaching and mentoring of lab members.

Skills

Large-scale analysis

Machine learning

AI techniques

Multi-omic integration

Education

Ph.D. or M.D./Ph.D. in a related field

Job description

Harvard University seeks a Postdoctoral Fellow in Biomedical Informatics within the Patel Lab. The ideal candidate will have a Ph.D. or M.D./Ph.D. and demonstrate expertise in large-scale analysis and health-related datasets. Responsibilities include conducting large-scale analyses, developing methods for multi-omic integration, and applying machine learning techniques. The position is a one-year term, with salary based on experience post-Ph.D., and offers a supportive research and collaborative environment.