Cue Biopharma & Benchling: Evolving into a clinical-stage organization
公司规模
50-100
地区
- America
国家
- United States
产品
- Benchling
技术栈
- Cloud-based data management
实施规模
- Enterprise-wide Deployment
影响指标
- Digital Expertise
- Productivity Improvements
技术
- 平台即服务 (PaaS) - 数据管理平台
适用行业
- 医疗保健和医院
- 生命科学
适用功能
- 产品研发
- 质量保证
用例
- 库存管理
- 预测性维护
服务
- 云规划/设计/实施服务
- 数据科学服务
关于客户
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.
挑战
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.
解决方案
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.
运营影响
数量效益
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