DESCRIPTION

The mission of the collaborative effort between the Bintu lab and 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 neurodegenerative diseases. The epigenome 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 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 Bintu lab and the UCSD Center for Epigenomics works 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 co-mentoring of Assistant Professor Bogdan Bintu and the Associate Director of Spatial Genomics Quan Zhu, the incumbent will help in running, customizing, and optimizing data analyses pipelines for spatial transcriptomics/genomics 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. Furthermore, the incumbent will be trained in maintaining the advanced Fluorescence In Situ Hybridization (FISH)-based imaging technologies to conduct high throughput, spatially resolved single cell analysis of transcriptomics and chromatin structure.

CT - Uses professional bioinformatics concepts. Applies computational procedures to resolve a variety of analysis and research issues. Works on assignments of moderate scope where analysis of data requires a review of a variety of factors. Assists in additional analyses as needed to achieve research objectives.

MINIMUM QUALIFICATIONS

• Six (6) years of applicable experience or a Bachelor's degree in biological science, computational / programming, or related area and / or equivalent experience / training plus two (2) or more years of relevant experience.

• Working knowledge of bioinformatics methods and data structures.

• Working knowledge of applications programming and web development.

• Working knowledge of databases.

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

• Working 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.

• Working knowledge of application and data security concepts.

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

• Ability to work in a dynamic

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