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Position:
Scientist - Computational Biology Duration: 12 + months on W2 Location: Seattle, WA 98109 Job Description: About the Team: We are a team of data scientists invested in the principle that excellence in research starts with excellence in data practices. Combining computational expertise and data communication skills, we seek to develop data workflows and applications that empower our industry-leading research and early development (R&ED) programs in immuno-oncology and cellular therapy. To this end, we partner with data managers, translational scientists, bioinformaticians and clinicians to link scientific questions to solutions that remove computational, logistical and technological barriers to data utilization in research. Key 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 • 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. Regards,
