RCH Achieves AWS Life Sciences Competency
Leading Cloud solutions exclusively for Life Sciences teams that accelerate discovery, optimize costs and ensure scalability and compliance in AWS.
Software Engineering
Bridging Software Engineering and Life Sciences
Propel computational and data sciences with well-architected, scalable, and maintainable software solutions to drive outcomes.
Built for Innovation, Engineered for Longevity
When well-architected and well-written, your software becomes a valuable asset; when undervalued or poorly developed, it can lead to costly or high-risk technical debt. In Computational and Data Sciences within Life Sciences, teams are often innovative and solution-driven, yet many undervalue Software Engineering as a discipline. As a result, they create solutions that address immediate needs but quickly become liabilities.
By combining Software Engineering expertise with Life Sciences knowledge, teams can develop modular, reusable, and well-documented software assets. Whether RCH operates as a standalone team or integrates with customer teams, applying engineering rigor to the software development process ensures the continuous evolution of assets while minimizing the risks of technical debt.
Software Engineering as a Discipline
Effective software engineering goes beyond writing code. It requires a structured, methodical approach to building solutions that are:
- Designed for longevity – Scalable, maintainable, and well-documented to reduce technical debt and maintain a valuable, evolving asset.
- Collaboratively developed – Agile, iterative processes that integrate seamlessly with your team.
- Engineered for efficiency – Optimized for performance and aligned with best practices.
Programming Language Expertise
No two challenges are the same and the right tool for the job matters. Our team brings expertise in a broad range of programming languages, including:
- Python, R, C/C++/C#, Java, Scala, Rust, Go, Ruby, MATLAB, and more.
- Linux and Windows Shell Scripting (BASH, PowerShell, etc.).
- A best-fit approach—choosing technologies based on needs, not just familiarity.
Comprehensive Software Solutions
RCH engineers software solutions that support the full technology stack, from front-end applications to back-end processing, including:
- Comprehensive development – Front-end, middleware, and back-end system architecture.
- Algorithm optimization – Enhancing performance for complex computations.
- Seamless integrations – Connecting cloud-native services, APIs, and databases.
Optimized Data and System Integration
Data is the foundation of Life Sciences. RCH’s team ensures smooth and efficient data workflows with:
- Cloud-native services for modern computing demands.
- API and abstraction layer development to unify disparate systems.
- Diverse database expertise – SQL, NoSQL, hierarchical, object, columnar, graph, document, and time series databases.
Flexible and Scalable Environments
Whether running locally or in the cloud, RCH supports a wide range of hosting environments, including:
- Physical or virtual machines (Linux, Windows, Mac).
- Serverless computing for cost efficiency and scalability.
- Containers (Docker, Kubernetes) for module deployment or transportable computing.
- High-performance computing (Apache Spark, Amazon EMR, HPC, and more).
Empower Your Life Sciences Software with Engineering Excellence
Ensure Your In-house Software is Modular, Scalable, and Built to Last. Whether building from the ground up, or optimizing existing solutions, RCH’s approach ensures your software remains an asset—not a liability.