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 60 people to a team of roughly 200 team members, with plans for further significant growth over the decade ahead. 

About the position

The Konermann lab is interested in understanding the pathways and mechanisms driving Alzheimer’s Disease, using functional genomics and other tools. Critically, the close proximity of wet lab and computational scientists in the lab enables a tight feedback loop between computational analysis and experimental design and execution for model refinement. Towards that goal, we are looking for a Computational Scientist to join our team. This person will join multiple fast-moving projects on the integration of multi-dimensional datasets toward predictive models of cellular function. They will also play a crucial role in building and maintaining systems for high-utility data and software dissemination.

We are flexible for this position to be in person, hybrid or remote (with the need to visit Arc’s headquarters 1-2 days per month). 

In this position you will

  • Work as part of a fully funded team to conduct experiments involving high-throughput functional genomics in human cell lines and primary cells, molecular and cellular assays, and iPSC-based models of disease
  • Independently lead key research projects and provide guidance on project strategy, experimental design, data analysis, and troubleshooting
  • Collaborate with and mentor PhD students and Research Associates 
  • Apply computational creativity to integration information from GWAS, eQTL data, transcriptomics and functional genomics to understand Alzheimer’s disease risk drivers

Requirements

  • PhD (or equivalent) in computational biology, computational chemistry, computer science, chemical engineering, bioengineering or a related field
  • General experience with analyzing a wide range of next generation sequencing and omics data sets
  • Experience developing computational methods to analyze large biological datasets
  • Experience programming in Python, bash, and/or R 
  • Experience with cloud computing (i.e. AWS) and software is a plus
  • Thrive in a collaborative environment involving different stakeholders and subject matter experts
  • Strong communication, data presentation, and visualization skills

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