Power your early discovery.

In the face of rapidly growing data volumes and complexity in preclinical research, Strong Tower delivers biostatistical computing environments that are marked by scalability, performance, and flexibility. Our solutions allow researchers to start with the resources they need and scale up seamlessly as demands grow, without the need for significant infrastructure overhauls. Our solutions adapt effortlessly to increasing data loads, ensuring an efficient and optimized approach to preclinical data management and analysis.

Choosing between a validated and unvalidated system depends largely on the phase of your project and regulatory requirements. For preclinical research, unvalidated systems might offer more flexibility and speed, suitable for exploratory data analysis where regulations are less stringent. However, as you move closer to clinical trials and commercialization, validated systems become crucial. They ensure compliance with regulatory standards, such as those set by the FDA, and provide a framework for maintaining data integrity and reliability.

Strong Tower recommends starting with a validated environment whenever possible, as it sets a strong foundation for meeting future regulatory scrutiny and minimizes risks associated with system changes or data revalidation. We offer consultations to help you decide based on your specific project timeline, regulatory pathway, and data complexity.

Strong Tower’s approach to managing large-scale exploratory data sets encompasses a wide range of growing research areas, including genomics, proteomics, environmental data, and more. We focus on providing statistical computing solutions that are scalable, secure, and integrated. More specifically, our strategy includes:

Scalable Cloud Storage: We use cloud-based technologies to offer scalable storage solutions and computational power. This approach ensures that we can manage large data sets efficiently, facilitating rapid analysis and data management without compromising performance, regardless of the data’s complexity or volume.

Data Integration and Interoperability: Recognizing the value of integrated data analysis in exploratory research, we specialize in combining data from various sources and types. This integration is crucial for generating comprehensive insights and uncovering novel discoveries during the exploratory phase.

High-Throughput Computing Resources: Our computing environments are optimized for high-throughput analysis, essential for handling and processing large data sets swiftly. This capability is vital for achieving timely insights, especially when working with vast amounts of exploratory data.

Robust Security and Compliance: Given the diverse nature of exploratory data, including sensitive genomic information, we maintain stringent security protocols and compliance with all relevant regulations.

As your project advances into the clinical phase, Strong Tower’s support evolves to meet the increasing complexity and regulatory requirements of your clinical trials. Our robust data management and biostatistical computing solutions are designed for seamless scalability and adaptability, ensuring that your data systems can handle the rigors of clinical phase demands without compromising on speed or compliance.

From SAS Integration and R & Python interoperability, to Posit biostatistics, and version control systems, the services we deliver share an unwavering focus on agility, compliance, and precise data management to help you keep trials on track while maintaining data integrity and auditability every step of the way.