Problem:

Access to explore and analyze large genomic, clinical, and health datasets to create clinical trials and develop precision medicine is limited to bioinformaticians with scripting expertise in R or Python. These specialists are rarer to find which increases cost and slows down time to market for novel drug therapies in the Precision Health market.

Opportunity:

Accelerate time to insights and reduce significant clinical trial and precision medicine costs for biopharma and research institutions by designing and building a product with a streamlined, intelligent visual interface. This interactive user experience will enable a wider array of researchers and analysts to explore, analyze, annotate, and share data insights at scale.

Hypothesis:

An interactive user experience tailored to the research needs of clinicians and analysts will enable the formation of novel scientific hypotheses while accelerating time to insights by expanding access to real-time, population scale genomics and health data exploration. We can improve health outcomes for patients in shorter timelines at lower costs by providing clinical researchers with a product that enables the exploration and analysis of genomic and health datasets via

• interactive browsing of common data models
• configurable filters with advanced longitudinal queries
• clear, robust data visualizations

The Goal:

Understand, design, and implement an interactive user interface that leverages the power of the existing custom client solutions including the cloud architecture, real-time processing performance, and computational experience (R studio/Jupyter). Deliver an off-the-shelf, configurable, platform product that significantly grows our user base from bioinformaticians to include clinical researchers thereby expanding our biopharma market share and providing cross-sell opportunities.

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