Open date: April 6, 2026
Next review date: Friday, May 1, 2026 at 11:59pm (Pacific Time)
Final date: Tuesday, Jun 30, 2026 at 11:59pm (Pacific Time)
This position involves developing and applying statistical and machine learning methods for high-dimensional data analysis, causal inference, and data integration.
Required qualifications include strong foundational training in Statistics and Machine Learning; experience analyzing large-scale genomics and genetics data in Unix-based environments; advanced programming skills in R, Python, or C++; and excellent communication skills. The position involves both methodological research and collaboration with researchers across a broad range of biomedical areas. Experience with high-performance computing clusters is preferred.
Qualifications Basic qualifications (required at time of application)We seek applicants with a PhD in Statistics, Biostatistics, Computer Science, Bioinformatics, Computational Biology, or a closely related field.
Application Requirements Document requirementsCurriculum Vitae - Your most recently updated C.V.
Cover Letter (Optional)
The University of California, Irvine is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC anti-discrimination policy.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
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