Level up your development team with strong data talents to create analytics platforms for the pharmaceutical, biotech and medtech sectors
The role of data in
Drug discovery and development is a complicated, time-consuming, research and investment intensive process.
The whole pharmaceutical sector, including biotech, medtech, life sciences, clinical trial services, and REMS
programs support, relies on the R&D process, to create new medicines, to drive forward future growth.
Since the start of this pandemic, there has been a rapid increase in investment to ensure the digitalization of trials,
remote teams collaboration, automated audit, and compliance. Now is the time to invest in these areas to ensure
the ongoing pandemic doesn’t prevent drug development.
With GreenM, you have a reliable data partner to the leading pharmaceutical, biotech and medtech companies.
We work with health IT players to help them transform the future of the industry.
We deliver a healthcare-focused team extension service to build a perfect data analytics solutions for drug discovery and development needs, solve data challenges and speed up delivery.
Drug discovery and research is a time, capital and labor intensive process. Pharma and life science companies need every advantage to ensure they’re maximising ROI. Now investments are being made in the digitalization of trials, remote teams collaboration, automated audit, and compliance. We help to build effective, powerful and easy-to-use the following types of drug discovery software:
In the healthcare sector, and especially when it comes to drug research and development, data posses a significant challenge. It needs to be managed carefully, used the right way, kept safe and secure, and pharma companies need to stay compliant with regulators.
Most drug discovery solutions offer screening, predictive analytics, modelling, simulation, and computational capabilities. Those functionalities help with tasks such as image analysis and clinical trial results submission, as well as ensuring accurate reproducibility. Researchers and scientists use drug discovery software to gain market intelligence, take advantage of advancements in drug design and synthesis, tackle evolving and adapting diseases, and maintain and manage the integrity of data as drugs transition from the discovery phase to the clinical trial phase.
We are working with you to find right talents to level up your engineering team and deliver on your goals quickly
Team Extension Model
The result of the project is an MVP, a concise version of the original solution that would use publicly available data and showcase the demo results to the clients during the sales process without having to inquire them for anything before they saw the product. MVP approximates benefits of joining the PCF, personalized specifically for individual practices.
The result was a system that could handle a large number of data pipeline tasks. The number of delays and issues was reduced to the bare minimum. The client-side had more time to deal with business tasks.
Our Goal was to constantly improve and adapt technologies in order to scale the system from 0 to 10K users during a rapid customer growth and allow for a quick onboarding.
The main requirement was to replace an old subscriptions product, so a new one must have the same features and non-functional characteristics.
Project goal was to get system logs from all clients and build comprehensive analytics to track usage, devices failure and performance.
To address the need for a powerful insight solution, GreenM team built a product that covers all of the aforementioned aspects. A scalable cloud-based application accumulates and processes all available Tableau Server information.
Tableau is an Enterprise Analytics and BI platform that is trusted by 20 of the top 20 U.S. hospitals. Care data can be visualized more effectively, giving patients improved treatments and providers reduced costs.
AWS is one of the world’s largest cloud-solutions, with a diverse range of offerings. When tailored effectively around the needs of healthcare clients, AWS can provide cost-effective, resilient infrastructure in coordination with other solutions, to provide all of the computing and storage power your data could need.
Apache Spark is ideal for making big data calculations quickly, which has dozens of use cases in healthcare. IT vendors in this sector can perform more effective ETL (Extract, Transform and Load), analysis (both interactive and batch), and streaming; reducing costs and improving outcomes.
Vertica helps healthcare IT companies to process millions or billions of RTMS records, and other medical data pipelines more effectively. Waste and error is also eliminated, making patients and providers safer.
We can extend your team with talented data engineers to create better, faster, solutions, and solve the appeared challenges.
Tell us more about your idea so that we can discuss a solution.
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