Director of Claims managing coverage litigation support at Everest Insurance Company. Overseeing litigation strategy and collaborating across various departments in a hybrid role.
About the role
- Director of Integrated Scientific Data Analysis and Visualization at GSK. Leading the integration of data and visualization techniques in biopharma discovery.
Responsibilities
- Develop and maintain a clear understanding of the evolving needs of Causal Biology Tech Build, and of the current landscape of available solutions, identifying where existing software components can be adopted, licensed and/or modified to meet specific needs.
- Design and deliver scientific visualizations and underlying data structures to surface multi-modal scientific data generated across biopharma discovery activities in an integrated and actionable manner based on a causal mechanistic representation of disease.
- Build, test and optimise robust and performant scientific visualizations and applications that enable real time exploration of large-scale interconnected data packages managed on GSK’s Onyx Research Data Platform and the capture of human insight.
- Collaborate across departments, with scientists evaluating integrated data packages to progress the portfolio, and with data, knowledge and software engineers, to enable robust knowledge foundations and maturation of best-in-class visualizations into production applications.
- Contribute to a culture of innovation, quality, and continuous learning and improvement within the team, including mentoring or upskilling other team members and continuously evaluating bioinformatics science and technology developments for potential application at GSK.
- Understand the internal and external landscape of data integration, visualization and access principles to build identify and create high-value scientific visualizations.
Requirements
- Bachelor’s degree in Computer Science, Data Science, Software Engineering, Life Sciences or related field.
- Extensive experience in scaled scientific (including genetic and genomic) data workflows, analysis and visualization, with a strong preference for experience in pharma/biotech.
- Extensive years of experience in front end technologies: JavaScript, Typescript, ReactJS, AngularJS or similar.
- Extensive years of experience with at least one common web backend language: e.g. Python, Scala, Java, Javascript (Node.js) including toolchains for documentation testing and operations/observability.
- Extensive years of experience with modern software development tools and ways of working (e.g. git/GitHub, DevOps tools, metrics/monitoring, …).
- Experience building complex scientific data visualizations using visualization frameworks like D3.js, Plotly, Matplotlib, or similar.
- Experience building and visualizing complex scientific data assets with semantically designed schemas leveraging relational and graph technologies.
Benefits
- Health insurance
- Professional development opportunities
- Flexible working hours
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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