Job:Scientist, Computational Biology at Denali Therapeutics in South San Francisco, CA, USA
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Thomas ▴ 10
@d9d25f4e
Last seen 10 weeks ago
United States

Scientist, Computational Biology

Denali Therapeutics is dedicated to developing breakthrough therapies for neurodegenerative diseases through our deep commitment to degeneration biology and principles of translational medicine.

We are looking for a Computational Biologist to join our Discovery Genomics team to study the biology underlying neurodegeneration in vitro (e.g. in iPSC-derived CNS cell types) and in vivo.

Please apply on Denali's website

You will join a group that values diversity of thought, continuous learning, and explores impactful ways of applying computational approaches to target and biomarker discovery. You are a strong communicator and will become a valued collaborator on cross-functional teams featuring e.g. Biologists, Chemists, Biomarker Scientists, Protein Engineers, and Data Scientists.

The successful candidate has broad expertise in the analysis of genome-scale data - e.g. bulk and single-cell transcriptomics, proteomics or metabolomics, etc - and will use this knowledge to deeply characterize cellular state and responses to therapeutic interventions in vitro and in vivo.

Responsibilities

  • Thoughtful design and reproducible analysis of genome-scale experiments, e.g. single-cell / single-nuclei, bulk, and spatial transcriptomics data, and distilling key takeaways.
  • Identifying and applying best practices to data collection, analysis & sharing, making datasets findable, accessible, interoperable and reusable (FAIR).
  • Communicating your findings to specialists and non-specialists on cross-functional teams, and the broader research community through presentations and publications.

Requirements

  • Driven by the desire to make a positive impact on human health through rigorous collaborative science.
  • A PhD in a relevant field, including — but not limited to — Computational Biology, Bioinformatics, Genomics, Biostatistics, etc, with or without post-doctoral or industry experience. Previous work in the field of neurodegeneration is a plus.
  • Proven track record of analyzing high throughput data as evidenced by high quality publications and/or conference talks in this area.
  • Extensive experience with a high-level data analysis language like R or Python.
  • Understanding of statistical approaches to the analysis of high-dimensional data.
  • Knowledge of the Bioconductor software ecosystem and version control (e.g. GitHub) is a plus.
  • Experience with a workflow orchestrator like Nextflow, Snakemake, etc is a plus.
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