Harell Data is building the intelligent infrastructure for the next era of scientific discovery. While AI has revolutionized digital industries, progress in the physical sciences-from drug discovery to material science-is currently bottlenecked because the most valuable training data remains isolated, unorganized, and difficult to access.
We are solving this by providing an end-to-end ecosystem that enables the secure sharing of proprietary datasets alongside the high-performance compute and orchestration layer required to train large-scale models. By bringing compute to the data within a single, integrated environment, we are creating the foundational stack that transforms raw scientific data into the next generation of domain-specific foundation models.
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Pros: I've found the team dynamic at Harell Data to be very supportive, which makes tackling complex data projects much smoother. There's a genuine encouragement to learn and experiment with new tools, especially within the data analytics and business intelligence space. The remote work setup provides significant flexibility, allowing for a good balance between professional responsibilities and personal life. It's a stable environment for a data professional.
Cons: While the flexibility is appreciated, sometimes project deadlines can feel a bit tight, leading to longer hours during peak periods. Communication about broader company strategy could be more consistent. Also, the approval processes for certain initiatives can sometimes feel a bit lengthy, which can slow down innovation on the data side.
Advice to Management: Consider streamlining approval workflows for innovation projects and ensuring more regular, transparent communication regarding strategic objectives across all teams. This would help employees feel more connected and aligned with the company's direction, especially in a remote setting.
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What's the typical salary range for a data analyst at Harell Data in New York?
When I was looking at Harell Data for a data analyst role in NYC, I noticed that salaries generally ranged from $70k to $95k, depending on experience. It seemed competitive for a mid-sized tech company in the industry.
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