Fortune 50 biopharmaceutical company boosts testing efficiency with Toptal developers.
A New York-based pharmaceutical leader worked with Toptal to create cutting-edge scheduling software, streamlining development and accelerating medical innovation.
Client
A global biopharmaceutical company developing medicines and vaccines across major therapeutic areas.
Employees
Revenue
Industry
Healthcare and Life SciencesDelivered Services
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Disparate, uncoordinated methods for scheduling various tests across multiple labs consumed analysts’ time and delayed processes critical for drug research. The client needed a digital solution to automate and unify time management across its labs but was short on developer bandwidth.
Solution
Healthcare-specific experience, on demand
Toptal provided a development team with healthcare industry and tech expertise, allowing them to add value to the project from day one. They developed multiple proofs of concept that addressed the client’s pharmaceutical-specific demands, prioritizing available resources and security.
Powerful integrations for seamless information
This team developed a cutting-edge tool that uses various API technologies to create an optimal schedule considering numerous factors like analyst availability, machine capacity, and prioritization directives. Throughout the deployment, the team ensured smooth service continuity and backward compatibility across the company’s multiple labs.
Outcome
Operational gain across 13 locations
The tool has been deployed to 13 of the client’s global locations, with continuous onboarding of new labs and sites. The scheduling software significantly reduces planning time for analysts, leading to increased productivity and standardization across the company’s testing processes.
Growing value in real time
The team continues to iterate on the software to deliver further value throughout deployment. An auxiliary tool is specifically being developed to assess schedule quality, driving efficiency by ensuring that the scheduling tool is constantly providing optimal output.
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