drug discovery
CASE STUDIES > Biotech
Sourcing qualified vendors in computational drug discovery
Learn how Outbound Pharma Helps Biotech Client Find the Perfect Computational Drug Discovery Partner
The Challenge
Our client is a tech-driven biotechnology company committed to transforming drug discovery and development, uses machine learning, automation, and its proprietary platform to decode biology and discover transformative medicines faster. With a mission to radically improve the drug discovery process,
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They needed a vendor with expertise in validating computational drug discovery hits using real-world data to accelerate the development of its drug candidates. The challenge was to find a partner who could align with their advanced computational platform, providing support for real-world data validation and ensuring high-quality results. Time was of the essence, as they wanted to keep the momentum of its R&D efforts.
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The company’s leadership in R&D identified a gap in their drug discovery process, particularly in the validation phase, which involves integrating real-world data into the computational models. They needed an experienced and innovative vendor to help them make data-driven decisions in validating drug candidates. Outbound Pharma was tasked with identifying and securing a partner capable of meeting these specific needs, while operating under strict time constraints.
The Solution
To address the client's challenge, Outbound Pharma engaged with the R&D leadership team to fully understand their requirements, technical specifications, and long-term project goals. We prioritized vendors who could integrate computational biology with real-world data validation, ensuring a high level of expertise in machine learning and automation technologies.
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We initiated a tailored vendor sourcing strategy using our extensive life science network and database to map out a diverse range of potential partners. After thorough research, we developed a shortlist of vendors that matched the client’s criteria. Our outreach and lead-generation campaigns focused on engaging top-tier Contract Research Organizations with proven capabilities in computational drug discovery.
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Within 8 weeks, we arranged 8 meetings with qualified vendors for the client, each of whom demonstrated experience in validating drug discovery hits using real-world data. Out of these initial engagements, the client selected 3 vendors for further discussions, ensuring a focused evaluation process based on specific project criteria.
The Results
After a streamlined evaluation process lasting less than 2 months, the client selected a US-based CRO specializing in computational chemistry and molecular dynamics.
The CRO's proprietary software platform was instrumental in meeting the client's needs, offering state-of-the-art computational tools for drug discovery, from hit identification to lead optimization. Their expertise in molecular simulations and integration of real-world data ensured a seamless validation process for the client's drug candidates. Their cutting-edge technologies, such as high-performance molecular dynamics simulations and machine learning tools, were key to supporting the biotech company's data-driven drug discovery approach.
Thanks to this collaboration, our client successfully enhanced their computational drug discovery process, moving closer to delivering transformative treatments faster. The entire project, from initial discussions to vendor selection, was completed in under 2 months, allowing the client to maintain momentum in their R&D efforts and proceed with confidence toward the next stages of drug development.
"Working with Outbound Pharma was a game changer for us. Their ability to quickly understand our technical needs and business goals made the vendor sourcing process incredibly efficient. Within just a few weeks, they introduced us to a highly qualified pool of vendors who had exactly the expertise we were looking for."
Director of R&D, Tech-Driven Biotechnology Company