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Cue Biopharma & Benchling: Evolving into a clinical-stage organization
Technology Category
- Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
- Healthcare & Hospitals
- Life Sciences
Applicable Functions
- Product Research & Development
- Quality Assurance
Use Cases
- Inventory Management
- Predictive Maintenance
Services
- Cloud Planning, Design & Implementation Services
- Data Science Services
The Challenge
Cue Biopharma, a company that designs novel biologics to modify the immune system to fight diseases, was transitioning from a research-centric organization to a clinical-stage organization. This transition involved bringing early development activities in-house to achieve greater control over the types and quality of work done by their teams. However, they faced challenges with non-standardized data capture, barriers to communication and handoffs between teams, and the need for a digital infrastructure to support their growth. They were using shared spreadsheets to manage information, which posed risks such as unintended edits and duplicates. As the company tripled in size, it became increasingly difficult for key pieces of information to efficiently flow through the organization.
About The Customer
Cue Biopharma is a biopharmaceutical company that is engineering a novel class of injectable biologics to selectively engage and modulate targeted T cells directly within the patient’s body. Their approach aims to transform the treatment of cancer, infectious disease, and autoimmune disease by leveraging a natural immune response with innovative protein engineering. This approach aims to achieve a more controlled immune response, providing greater patient benefit while reducing toxicity. The company is based in Cambridge, MA, and has between 50 to 100 employees. In a push to move new safe and efficacious immunotherapies to patients, Cue Biopharma has scaled and grown into a clinical-stage company by expanding its development work in-house.
The Solution
Cue Biopharma utilized Benchling as their unified cloud solution to establish the data management infrastructure required for their work and establish a bidirectional flow of information between the Research and Development groups. Samantha Povlich, a Principal Scientist and Head of Analytical Outsourcing and Stability at Cue Biopharma, built a data model within Benchling that stored the name, location, history, and results of all samples in an interconnected suite of applications. This increased the throughput of information shared between scientists within and across teams, making tracking much more robust and knowledge transfer much more efficient. Samantha also created templates to empower scientists to input all experiment-relevant information into this newly centralized system. Benchling also enabled Cue Biopharma to design a request system to accommodate all testing that happens with all the different permutations of candidate molecules.
Operational Impact
Quantitative Benefit
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