Sampled is a fully integrated laboratory and biorepository with industry-leading storage, sample management, multiomics, stem cell processing, and custom clinical kitting services. Founded in 1999 as RUCDR Infinite Biologics, Sampled operates laboratories in the US and UK and is accredited and licensed by leading regulatory compliance organizations. Sampled is committed to providing the highest quality sample processing and analysis services that enable researchers to make new discoveries and advance human health. When combined with state-of-the-art biobanking facilities, these capabilities provide comprehensive scientific solutions that speed time to quality data.
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Pros: The company culture at Sampled is genuinely strong. There's a real sense of camaraderie among the sales team, and as an Inside Sales Manager, I've always felt supported by my peers and direct leadership. It's a collaborative environment for a technology sales business, and everyone is pretty much on board with helping each other hit targets. Training and development within the sales organization are consistent, which is great for continuous learning and improving your sales skills. The office
Cons: While the culture is great, like any growing technology company, there can be periods of high workload, especially towards quarter-end. This can sometimes stretch work-life balance a bit. Also, the approval process for non-standard deals occasionally feels a little slow, which can impact sales cycle efficiency. It's not a major issue, but something that could be streamlined.
Advice to Management: Continue to foster the strong team environment and look into ways to optimize cross-departmental workflows to further enhance sales efficiency, especially around deal approvals.
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What is the typical working culture like for a data analyst at Sampled, particularly regarding collaboration and team dynamics?
The culture at Sampled for data analysts is generally collaborative, with an emphasis on cross-functional teamwork. You'll often find yourself working with product managers and engineers to interpret data and drive decisions.