In the quest for value, industry leaders have shifted from implementing standard tools to designing an optimized experience, customized for scientists’ work and unique workflows. This is certainly true for data-intensive organizations in BioTech and HealthTech.
Connect encompasses our software and application development services. We develop bespoke informatics and scientific applications for scientifically driven use cases. Our life sciences domain expertise allows us to effectively work alongside science-minded stakeholders and to understand their pain points and requirements. We also work on developing customizable data visualization dashboards by leveraging open-source packages and commercial tools such as Spotfire, Tableau, Looker, etc. When it comes to application and software development, proper API development and integration is key to ensuring that our solutions seamlessly integrate into each client’s unique digital ecosystem.
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. By building tools and systems that facilitate the interpretation of large volumes of data, we help our clients address the vast amount of legacy and new data 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.
Arrayo developers have expertise in writing applications that support data platforms and organizational IT needs in a variety of scientific disciplines. We are experienced at developing Informatics & Scientific applications, in a serverless or server-based framework, such as
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 existing systems and some level of technical debt . Our development team at Arrayo specializes in connecting these systems and providing API integrations. This allows scientists in various disciplines to collect and aggregate data, which can then be used across the company. Thanks to our tools, modules, and knowledge, Arrayo can 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 GUI components, we have generated utilities to enhance our speed in developing custom microservice-based APIs to support the desired workflows and integrate with existing homegrown or vendor-managed LIMS.
Tools and Data Visualization
Establishing a single source of truth with centralized data capture and lineage for all laboratory data is vital to 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 accumulation of data such as 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 a given study’s progress across their 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.
In sum, by gathering scientific use cases and requirements directly from scientists we create client specific data persistence layers, web applications, and visual data representations.