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    Deep Node Studios
  • Turkey

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Senior Data Scientist
3.9
27 August 2026
Engaging AI work in drug discovery with growth potential
Pros: The most rewarding aspect is the chance to work on cutting-edge AI models directly applied to drug discovery challenges. The team is composed of bright minds, fostering a collaborative environment where learning is constant. As a Senior Data Scientist, I've had opportunities to lead projects and contribute significantly to the product roadmap, which is great for career growth in the pharma tech industry.
Cons: While collaboration is good, project management could be more streamlined, especially during crunch times on research projects. Sometimes, the approval processes for new tools or research directions can feel a bit slow, which can impact the pace of innovation. Workload can also be intense during critical development phases, impacting work-life balance slightly, but it's typical for a fast-paced biotech startup environment.
Advice to Management: Consider formalizing some of the project management and approval workflows to ensure faster iteration cycles. Investing in more structured professional development programs would also be beneficial for retaining talent and advancing careers within the company.
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