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About Arc Institute
The Arc Institute is a new scientific institution that conducts curiosity-driven basic science and technology development to understand and treat complex human diseases. Headquartered in Palo Alto, California, Arc is an independent research organization founded on the belief that many important research programs will be enabled by new institutional models. Arc operates in partnership with Stanford University, UCSF, and UC Berkeley.
While the prevailing university research model has yielded many tremendous successes, we believe in the importance of institutional experimentation as a way to make progress. These include:
Arc scaled to nearly 100 people in its first year. With $650M in committed funding and a state-of-the-art new lab facility in Palo Alto, Arc will continue to grow quickly to several hundred in the coming years.
About the position
We are looking for a Research Associate II to join the Zhou Laboratory at the Arc Institute. You will collaborate closely with Dr. Zhou, leveraging massive single-cell multi-omic atlas to solve human diseases. In this role, you will obtain training and experience to perform data analysis, deep learning algorithm development, and result interpretation for deriving novel biological insights. You will also have the opportunity to work with world-leading scientists in relevant fields, including computational genomics, human genetics, CRISPR technologies, and single-cell genomics. This is an excellent opportunity for a highly motivated and curious researcher interested in applying cutting-edge experimental and computational technologies to decode human diseases. This is also a good opportunity for candidates before enrolling in a Ph.D. program, as you will be involved in all stages of a project under the guidance of an experienced scientist and will receive a letter of recommendation.
This project builds on our unpublished data of single-cell DNA methylation and 3D genome structure across human tissues and also published single-cell RNA-seq and ATAC-seq data from other groups. This aims at developing a state-of-the-art computational framework to predict the effects of genetic variants on cell-type specific epigenome and transcriptome and combine them with human genetic frameworks to pinpoint disease-associated cell types and genes. The ideal candidate will have strong experience in deep learning and statistics and the motivation to learn and apply them to solve questions in genomics.
About you
In this position, you will
Job Requirements
The base salary for this position is $73,700. This amount does not include benefits or other forms of compensation.
Full Time
$86k-108k (estimate)
01/25/2024
05/02/2024
arcinstitute.net
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