The mission of the UCSD Center for Epigenomics is to develop a quantitative and molecular framework to study the function and regulation of the human genome, with the ultimate goal to understand the molecular basis of cancer and other human diseases. Epigenomics is at the forefront of Precision Medicine. The epigenome, a term referring to the state of DNA methylation and the covalent modifications of histone proteins in a cell, plays a central role in regulating the functional output of the genome during development. Changes in the epigenome that result from exposure to stress, pathogenic conditions and during aging can determine the patterns of gene expression and predispose an individual to diseases. Epigenome research promises to significantly improve our understanding of the factors that drive human development and disease. The UCSD Center for Epigenomics will work with researchers on the UCSD campus and beyond to foster the application of epigenomic concepts and technologies to clinical, translational, and basic research.

Under the direction of the Associate Director of Spatial Genomics and direct supervision by senior bioinformaticians, the incumbent will help in running, customizing, and optimizing data analyses pipelines for spatial transcriptomics experiments. The incumbent will help to evaluate data quality and gain biological insights, as well as assist to prepare results for oral presentation, scientific publications, and grant applications.

CT - Under direct supervision, applies professional bioinformatics concepts and computational procedures to complete small projects or portions of projects. Works on assignments of limited scope and complexity. Follows standard programming procedures to analyze situations and data from which answers can be readily obtained.

• Four (4) years of related and applicable experience or a Bachelor's degree in biological science, computational / programming, or related area (Bioinformatics, Computational Biology preferred) and /or equivalent experience / training.

• Basic knowledge of bioinformatics methods and data structures.

• Basic knowledge of applications programming and web development.

• Basic knowledge of databases.

• Basic project management skills. Excellent organizational, problem solving, and analytical skills, and attention to detail.

• Basic knowledge of modern biology and applicable field of research.

• Interpersonal skills in order to work with both technical and non-technical personnel at various levels in the organization.

• Ability to communicate technical information in a clear and concise manner.

• Self motivated, able to learn quickly, meet deadlines and demonstrate problem solving skills. Ability to effectively prioritize workload and meet deadlines despite interruptions and competing demands.

• Basic knowledge of application and data security concepts.

• Basic knowledge in genomics, biostatistics, molecular biology, and/or genetics.

• Ability to work in a dynamic "startup" atmosphere.

• Basic knowledge in analyzing next generation sequencing data. Experience with single cell genomics data like single cell RNA-seq, single cell ATAC-seq or single cell DNA methylation data is a plus.

• Basic knowledge in statistics and programming languages such as Python, Perl, and R. Proficiency with relational databases and programming languages used in the development of web-based MIS systems is a plus plus (e.g. SQL Server, HTML).

• Bachelor's degree in biological science, computational / programming, or related area (Bioinformatics, Computational Biology preferred) and /or equivalent experience / training.

• Employment is subject to a criminal background check.

• Occasional holidays, weekends, evenings, nights, and on-call may be required