Data Science Services

Create the Lab of the Future

Science and society are evolving, and so are the technologies that are enabling a better future for all. At RCH Solutions, our Data Science services focus on the intersection of data ingestion, data extraction, and data modeling to improve research development and how it’s applied.

Harmonizing the Tech Stack

We Build a Strong Foundation for Data Science to Thrive

Big Data is more than a buzzword; it’s enabling a better way of life via faster drug discovery, research, testing, and real-world applications. Data science and emerging technologies like machine learning and artificial intelligence allow researchers to find connections between data points that used to go unobserved.

But for data to truly benefit R&D, our team of Bio-IT specialists understand it first needs a solid foundation of data management processes, best practices, and procedures so that the data can be trusted and utilized by the right people at the right time. At RCH Solutions, we work with labs to create these systems and help you extract the full value of your data.

Graphic in harmonizing the tech stack as part of RCH Solutions' Data Science Services.


The State of R&D IT: A Future-Forward Discussion for Optimizing a Modern Life Sciences Lab

Hear perspectives and commentary on the most important modernization opportunities and trends within R&D IT, as well as steps your team can take today to run toward a future-forward lab environment.

Minimize Your Tech Debt

We Provide Full-Service Data Solutions, On-Premise and in the Cloud

Fruitful research in all omics specialties requires access to relevant data combined with the required computational power for each use case. With more and more legacy systems failing to meet one or both of these criteria, RCH Solutions designs systems prepared to meet today’s demands and future needs. Our process includes the implementation of data storage and management solutions on-premise or in the Cloud, allowing labs to work wherever and however they work best, across the following domains (and more): 

  • Bioinformatics
  • Computational Chemistry
  • Computational Fluid Dynamics
  • Cryo-EM/Crystallography
  • Genomics
  • Immunology
  • Next Gen Sequencing
  • Numerical Analytics
  • Pharmacokinetics
  • Precision Medicine 
  • Quantum Chemistry
  • Structural Biology

Data Science Ecosystems Tailored to R&D

We Use FAIR Guiding Principles to Optimize Your Workflows

Becoming a data-centric lab of the future means being able to trust data assets and the findings and outcomes it initiates. To do this, our Data Science services are rooted in the FAIR framework. This framework enables the use of machine learning and other automation best practices to create a predictable, repeatable path to data analysis and usage, allowing labs to make broader and faster use of their data. To do this we:

Making Data Findable

We’ll work with you to structure metadata in a way that enables both your team and your technologies to easily find key pieces of information in a timely manner.

Making Data Accessible

Ensuring data is accessible upon discovery with respect to authorization and authentication requires in-depth understanding of how your team organization collaborates best. We’ll work closely to help you bring order to your data systems.  

Making Data Interoperable

Ensuring data sets are fully integrated and moving bi-directionally, you un-limit what you can build and automate. RCH has the knowledge and experience to build the right framework for the delivery of workflows so data gets to where it’s needed most. 

Making Data Reusable

As your biggest and most valuable asset, ensuring data’s “shelf life” and the ability to replicate or reuse it in other use cases is paramount. We’ll implement systems that help you make the most of the insights already uncovered.