Computational Scientist

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
• Driven to deliver solutions that impact patients’ lives
• 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
• 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