Postdoctoral Researcher: Genomics ML & Causal Inference

University of California - Irvine; Irvine (CA); On-site; USD 69,000 - 83,000; Full time

Job summary

The University of California, Irvine invites applications for a position focused on developing and applying statistical and machine learning methods for high-dimensional data analysis, causal inference, and data integration.

The role involves collaboration with researchers across biomedical areas and requires strong foundations in Statistics and ML, plus experience with genomics data in Unix-based environments.

Qualifications

• Strong foundation in statistics and machine learning.
• Experience analyzing large-scale genomics/genetics data.
• Advanced programming skills in R, Python, or C++.
• Excellent communication and collaboration with researchers.

Responsibilities

• Develop statistical and ML methods for high-dimensional data analysis.
• Apply causal inference and data integration techniques.
• Collaborate with researchers across biomedical areas.

Skills

Statistics & ML foundation

Genomics data analysis

Unix env

Programming in R/Python/C++

Communication skills

Education

PhD in Statistics, Biostatistics, Computer Science, Bioinformatics, Computational Biology, or related field

Tools

High-performance computing clusters

Job description

The University of California, Irvine invites applications for a position focused on developing and applying statistical and machine learning methods for high-dimensional data analysis, causal inference, and data integration.

The role involves collaboration with researchers across biomedical areas and requires strong foundations in Statistics and ML, plus experience with genomics data in Unix-based environments.