Senior Scientist, Computational Biology

Denali•South San Francisco, CA

9d•$147,000 - $191,000

About The Position

Denali Therapeutics Inc. is a biotechnology company pioneering a new class of biotherapeutics designed to cross the blood-brain barrier (BBB) using its proprietary TransportVehicle™ platform. With the first FDA-approved biologic specifically designed to cross the BBB, a clinically validated delivery platform and a growing portfolio of therapeutic candidates across all stages of development, we are advancing toward our goal of delivering effective medicines to transform the lives of people living with neurodegenerative diseases, lysosomal storage disorders and other serious diseases. We invite you to consider an opportunity with Denali to help achieve our goal of delivering meaningful therapeutics to patients. This role helps define the direction of computational biology efforts across Discovery and continues to adapt this strategy as needs evolve. This is a highly cross-functional role, collaborating with scientists to enable project advancement from early target validation through IND-enabling studies. This position develops tailored analytical approaches for a variety of data types and manages external partners as needed to achieve our goals. Through a combination of hands-on analysis and strategic oversight, this role has the opportunity to directly contribute to the advancement of Denali’s early-stage portfolio.

Requirements

PhD in a relevant field such as Computational Biology, Epidemiology, Neuroscience, Statistics, or similar with 3+ years relevant work experience in industry
Proven track record of analyzing single-cell/single-nucleus RNA-seq data, as evidenced by relevant publications, a deep understanding of relevant statistical methods, and experience using common software tools for analysis (e.g. Cell Ranger, CellBender, Seurat, scanpy, etc)
Extensive experience in R or Python for analysis of high-dimensional biological data
Knowledge of version control (e.g., Git) and methods to generate analysis reports (e.g., R Markdown, Quarto).
Track record of impactful research, including publications in peer-reviewed journals
Strong analytical and problem-solving skills, excellent oral and written communication skills

Nice To Haves

Additional experience with other high-dimensional data types (e.g., proteomics, mass spectrometry, human genetics) is a plus
Experience building dashboards (e.g., with Shiny) is a plus

Responsibilities

Serves as the subject matter expert for the analysis of high-dimensional data, including bulk and single-cell/-nucleus transcriptomics data
Effectively collaborates with scientists across Discovery to design, analyze, and interpret in vitro and in vivo experiments to support projects across the portfolio
Performs rigorous, reproducible analysis across transcriptomic, genomic, and other high-dimensional datasets, adapting methods to fit the specific scientific question as needed
Develops and extends internal computational tools and workflows, as well as overseeing external analysis efforts as needed
Operates as a highly-independent contributor, defining analytical approaches, building solutions where none exist, and validating results with minimal oversight
Able to build and adapt analysis workflows using AI-assisted approaches while critically evaluating outputs for accuracy and scientific rigor
Applies best practices to code- and data-management, including workflow orchestration and version control; identifies opportunities for improvement where appropriate
Effectively communicates results to cross-functional teams and contributes to regulatory filings, patents, and publications