Success Factors for Data Science Teams in Biotech
Alternatively titled: what does my company's data science team need to succeed?
Hello fellow datanistas!
What it takes for a data science team to successfully deliver long-lasting impact through data products, especially in a biotech research setting?
I've recently shared a blog post that dives deep into this topic, drawing from my experiences and insights.
In the post, I discuss four key ideas: a framework for bounding work, clarity on high-value use cases, the importance of technical and interpersonal skillsets, and the necessary surrounding context for success. I also share some personal stories that highlight the importance of these ideas in real-world scenarios.
I believe this post could be a valuable read for anyone involved in data science more broadly as well, whether you're a seasoned professional or just starting out.
Here's the link to the post! If you find it helpful, I encourage you to share it with others who might benefit from it. As always, I appreciate your support and look forward to hearing your thoughts.
Happy reading!
Cheers,
Eric