Computational Biologist

Seattle, Washington
Industry: Scientists / Research / Lab Technician
Job Number: JN -062021-65155

Job Responsibilities

  • Contribute to the development and maintenance of a body of internal R packages aimed at standardizing our data workflows
  • Collaborate with translational scientists to build and maintain production-grade R Shiny applications that enable efficient quality monitoring of large volumes of continuously flowing data
  • Collaborate with translational scientists to refine and implement internally developed data QC algorithms
  • Develop data objects (products) per scientific use-cases, following internally established data development workflows
  • Collaborate with data managers and engineers to specify data models and data API endpoints to enable development of R Shiny applications that facilitate non-programmatic interaction with our translational data


Qualification and Experience

  • BS degree with 4+ years of experience, a M.Sc. degree with 2+ years of experience or a recent PhD in Statistics, Biostatistics, Computer Science, Bioinformatics or similar fields
  • Strong desire to learn with an interest in immuno-oncology and cellular therapy
  • Experienced in interdisciplinary collaborations at the interface of data science and life sciences
  • Capable of aligning day-to-day tasks with team’s broader priorities and goals.
  • Ability to communicate clearly with both technical and non-technical collaborators
  • Proficient in good coding practices
  • Command of data science stack of tools: R/Python, notebooks and git
  • Experience with R Shiny, Dash, Plotly, Streamlit, or other reactive visualization framework
  • Experienced in R package development
  • Experience with APIs, or ability to quickly learn how to use them (e.g. R httr or Python requests)
  • Experienced in data visualization and analytics
  • Experienced in setting up data workflows that interface with diverse ecosystem of data platforms and APIs
  • Computing proficiency: Base knowledge of Linux OS and interaction with cloud-resources particularly AWS
  • Preferred: Experience with practicing Agile
  • Preferred: Experience with clinical data practices and standards
  • Preferred: Experience working with omics and/or flow cytometry data
  • Preferred: Experience with CI/CD framework and SQL

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