Postdoctoral Scientist — Genomics, ML & Causal Inference

UC Irvine; Irvine (CA); On-site; USD 69,000 - 83,000; Full time

Job summary

UC Irvine in Irvine, CA 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 combines methodological research with collaborations across biomedical disciplines.

Basic qualifications include a PhD in Statistics, Biostatistics, CS, Bioinformatics, Computational Biology, or related field, plus experience with genomics data in Unix environments and

Qualifications

• PhD in Statistics, Biostatistics, Computer Science, Bioinformatics, Computational Biology, or closely related field.
• Strong foundation in statistics and machine learning.
• Experience analyzing large-scale genomics/genetics data in Unix-based environments.
• Excellent communication skills.

Responsibilities

• Develop and apply statistical and machine learning methods for high-dimensional data analysis.
• Perform causal inference and data integration across biomedical datasets.
• Collaborate with researchers across biomedical areas.
• Utilize high-performance computing resources.

Skills

Statistical methods

Machine learning

Genomics data analysis

Unix-based environments

R

Python

C++

Communication skills

Education

PhD in Statistics or closely related field

Tools

HPC clusters

Job description

UC Irvine in Irvine, CA 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 combines methodological research with collaborations across biomedical disciplines.

Basic qualifications include a PhD in Statistics, Biostatistics, CS, Bioinformatics, Computational Biology, or related field, plus experience with genomics data in Unix environments and