Postdoctoral Scholar - Computational Biology

Position Overview

Salary range: A reasonable estimate for this position is $66,737-$80,034. See Table Postdoctoral Scholar Experienced-Based Salary for the salary range for this position.

Open date:
July 23, 2025

Most recent review date:
Monday, Dec 1, 2025 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date:
Tuesday, Jun 30, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

A postdoctoral position is available at the University of California, Irvine under the leadership of Dr. Stanley Ng. The successful candidate will explore the relationship between multiple molecular layers from epigenome to phenome at clonal resolution in various tissues. In brief, studies will involve the analysis of multiple data modalities from human and mouse tissues, including spatially-resolved somatic DNA mutations, gene and protein expression, cryogenic electron tomography (cryo

ET) images, among other data layers. Bioinformatic integration of distinct data types and subsequent statistical and machine learning analyses will be performed to elucidate how alterations to various molecular layers in individual clones can lead to their respective contributions to disease development/progression, malignant transformation, and treatment-specific resistance. For cryo

ET data, computer vision based deep learning models will be developed to identify abnormal biomolecular structures in diseased cells at nanoscale resolution. These studies will facilitate the identification of novel risk markers and therapeutic targets that will be validated in independent biological specimens and datasets.

Applicants should hold a PhD or MD/PhD degree and have extensive experience in at least 1 programming language and machine learning models. Ideally, candidates will also have some familiarity with basic biology, next-generation sequencing data, and statistical modelling of high-dimensional datasets, as reflected in published research articles. Postdocs are expected to work independently, while collaborating with bioinformaticians, biologists, clinicians, scientists, and otherwise obtain the necessary tools and knowledge as appropriate to achieve scientific aims.

Our lab employs bleeding-edge computational modelling approaches and state-of-the-art technologies. UC Irvine is a world-class research university with highly ranked graduate programs in biomedical sciences. Our Southern California location is home to one of the largest academic research and biotechnology hubs in the US. Lab members enjoy direct access to this outstanding community of clinicians and scientists, as well as the wide range of recreational activities available in our region.

Successful candidates will join an interdisciplinary and highly collaborative team working to develop the next generation of tools and technologies to advance precision diagnostics and therapeutics.

• A PhD or MD/PhD degree with a focus on Epigenetics, Genetics, Genomics, Biology, Bioinformatics, Machine Learning, or a related field
• Extensive experience in a research environment and at least 1 first-author publication in a reputable scientific journal
• Proficiency in R, Python, and/or other programming languages, and familiarity with working in a Linux-based high-performance computing environment
• Ability to work independently to drive projects forward
• Ability to communicate effectively and collaborate as part of a multidisciplinary team
• Ability to compose and deliver comprehensive presentations at scientific meetings and prepare research articles for peer-reviewed publications

• Expertise in statistical model development and the analysis of high-dimensional data, including next generation sequencing datasets
• Experience with sectioning, fixing, and staining tissues for histology imaging, laser capture microdissection, and sample prep for (single-cell) sequencing
• Expertise with ATAC-Seq, methylation profiling,…