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: 

  • Funding: Arc will fully fund Core Investigator’s (PI’s) research groups, liberating scientists from the typical constraints of project-based external grants. 
  • Technology: Biomedical research has become increasingly dependent on complex tooling. Arc Technology Centers develop, optimize and deploy rapidly advancing experimental and computational technologies in collaboration with Core Investigators. 
  • Support: Arc aims to provide first-class support—operationally, financially and scientifically—that will enable scientists to pursue long-term high risk, high reward research that can meaningfully advance progress in disease cures, including neurodegeneration, cancer, and immune dysfunction. 
  • Culture: We believe that culture matters enormously in science and that excellence is difficult to sustain. We aim to create a culture that is focused on scientific curiosity, a deep commitment to truth, broad ambition, and selfless collaboration. 

With $650M in committed funding, the vision in the first 2-3 years is to grow from a current team of 75 to a team of roughly 150 team members, with plans for further significant growth over the decade ahead. 

About the position 

We are seeking an exceptional scientific leader and researcher to build and manage the Bioinformatics Center at the Arc Institute. The Center will be internally funded and staffed by research scientists under industry-competitive pay scales, with the overall mission of deploying and advancing multi-omic and functional genomics technologies to understand complex diseases. 

In this position, you will: 

  • Build and manage Arc’s fully funded Bioinformatics Center of 5-10 FTEs. ● Actively mentor and provide guidance to research staff and develop them professionally and scientifically. 
  • Partner with Arc’s Core Investigators and Technology Centers, Platforms, and Core Facilities to advance research across the institute and create a culture of collaboration and excellence.
  • Develop and refine cutting edge data analysis approaches across Arc’s key research areas, including functional genomics, transcriptomics, epigenomics, and proteomics. ● Develop a strategy to curate and analyze existing large scale publicly available data across these areas to inform experimental research across the Institute. ● Develop a strategy to integrate multiple data types to elucidate functional connectivity between genes, transcripts, and proteins, with the goal of developing better standard models of gene expression and function. 
  • Be a key participant in a collaborative, Institute-wide initiative on functional genomics focused on mechanistic understanding of late-onset Alzheimer’s disease. ● Develop a user-friendly and comprehensive data management system for research across the institute in collaboration with the Multi-Omics and Computation Technology Centers and the Institute’s IT function. 
  • Serve as a subject matter expert across Arc in key areas of focus for the Center ● In collaboration with the Genome Engineering Technology Center, develop and refine approaches for genomic mining, discovery, and prioritization of new effectors and systems for bioengineering applications. 
  • Engage in and manage internal and external research collaborations. ● Attend and present at team meetings to share results, plan projects and experiments, and ensure that projects support team goals. 

Job Requirements: 

  • PhD, MD, or MD/PhD in a relevant field and 12 – 15 years of relevant experience in industry and academic settings. 
  • Previous managerial experience leading and growing scientific teams. ● Extensive experience with genomics, transcriptomics, epigenomics, and single cell sequencing data analysis. 
  • Outstanding written and verbal communication skills are required for research presentations, SOP development, and publications. 
  • The successful candidate will be an ambitious self-starter, be motivated to apply his/her skills to diverse projects, and enjoy working in a fast-paced team environment.

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