Data Intensive Transformation is Underway!

Connecting an ecosystem of COTS, custom applications, and tools that drive research and development, optimize digital adoption and increase efficiency & insights.

We are "Web Scientists, AI Engineers and Scientific Engineers " meeting new demands for computational and collaboration tools. Our Scientists and engineers support clients in the transformation of raw data into meaningful and useful information. Building tools and systems that facilitate the interpretation of large volumes of data. We help our clients address the inherent challenges they are faced with the vast amount of legacy and new data being produced by the industry.

We provide proof-of-concept (POC), Minimum Viable Product (MVP), and production solutions. Our team includes biologists, chemists, biochemists, computational scientists, bioinformaticians and engineers, all specialized in computing, data management, data visualization, software & full stack web app development and software deployment.

We believe that the quest for value has shifted from the delivery of standard tools to scientists to an optimized experience that facilitates their work and unique workflows. This is certainly true in BioTech and HealthTech data intensive organizations.

We provide industry expertise to guide and support our clients in their digital transformations.
healthtech tilde separator

Arrayo developers have expertise in writing applications that support data platforms and organizational IT needs from a variety of scientific disciplines. We are experienced at developing Informatics & Scientific applications for example:

o Graphical User Interface (GUI) development and data visualization
o RESTful API and Microservice implementations
o Database design and schema construction
o Development Operations (DevOps) infrastructure as code implementations

API Integrations to Connect Existing Systems

Many pharmaceutical and biotech companies whether established big pharma or relatively new biotech have some level of technical debt and existing systems. Our development team at Arrayo specialize in connecting these systems and providing API integrations to allow scientist in various disciplines to collect and aggregate data that can be used across the company. Arrayo has tools, modules, and knowledge that allows us to quickly engineer custom APIs to fit the needs of our clients. Many of the components we have created for GUIs are very flexible in their application and can be used to significantly enhance the time-to-delivery for custom client applications. In addition to the GUI components, we have generated utilities to enhance our speed of developing custom microservice-based APIs to support the desired workflows and integrate with existing home grown or vendor managed LIMS.

Tools and Data Visualization

Data visualization in the life sciences will vary greatly based on the scientific discipline being addressed, from gene splicing to expression analysis to assay visualization. Understanding these use case specific visualization cases is paramount in selecting the right tool, whether choosing an off the shelf tool and customizing it like Spotfire, Tableau, Qlik, Looker, etc... or building custom visualization tools using open sourced Javascript or python libraries (D3JS, Plottly, Bokeh, etc…). The availability of open sourced, community driven biology visualization plugins for Javascript such as Plotly, D3, and many other open sourced frameworks makes an MVC-compatible Javascript framework such as Angular or ReactJS ideal to design impressive, responsive, and scalable applications. Arrayo assists not only in selecting the most appropriate tool but can also design solutions to utilize current visualization tools in place. Arrayo also helps with ensuring data processing, indexing and organization is fit for the use case. This warrants that whether using a COTS tool or custom visualization application the tool will be performant and reliable.

The establishment of a single source of truth with centralized data capture and lineage for all laboratory data is paramount for discovering insights that provide new pathways for therapeutics, diagnostics and vaccines for patients. We architect, design, and implement high-throughput laboratory information management systems (LIMS) to facilitate the vast array of accumulating data including protein characteristic data, NGS data, and a wide variety of assay data. This allows our clients to access the data retrospectively, provides a trustworthy source for advanced analytics, and ensures transparency of particular studies’ progress across the company. The digitization and automation of numerous laboratory workflows combined with laboratory automation can result in a significant increase in overall laboratory efficiency. Intuitive Graphic User Interfaces (GUIs) are used to reduce training time and streamline laboratory workflows; ultimately allowing for more rapid discovery of therapeutic targets.

The creation of the visual data representations, full stack web development, data management, and data analytics starting from scientific use cases and requirement gathering directly from scientists is what we do.