Meet Eleanor Noble: Pioneering Data and AI Talent Solutions at Panda Intelligence

Her journey from spearheading talent acquisition in the dynamic Boston Biotech hub to shaping AI applications in regulatory filings provides her with a deep understanding of the intersections between technology and life sciences. We recently sat down with Eleanor to discuss her career path, her current role at Panda, and her ambitious plans for the future.

Tell us a bit about yourself and give a brief overview of your work history before joining Panda.

Before Panda, I immersed myself in the life sciences recruitment sector in Boston, specialising in retained and confidential searches. I later joined an AI startup focused on Gen AI for regulatory filings, where I played a pivotal role in our go-to-market strategy and team building. This experience highlighted the acute challenges in sourcing top-tier data science and AI talent, which led me directly to Panda.

What attracted you to the role at Panda Intelligence?

The role at Panda presented a fascinating opportunity to be at the intersection of life sciences and digital transformation. The sector's rapid evolution and the significant impact on patient outcomes make it an exhilarating time to connect brilliant minds in Data and AI with leading life sciences companies making real-world impacts.

How would you describe your first impressions of the company and the team? 

Joining Panda, I was immediately struck by the team's high-performance culture. The level of dedication, attention to detail, and care in each search process were palpable from day one. It's clear why Panda holds such an esteemed reputation in the industry.

Panda Intelligence has ambitious growth plans. How do you see your role influencing these goals? 

I’m excited to contribute to Panda's expansion in the U.S. market. With my background in the U.S. Life Sciences sector and experience in building teams from the ground up, I believe I can play a vital role in our growth efforts stateside. I look forward to applying my insights and strategies to enhance Panda’s already impressive trajectory.

What strategies do you believe will be most effective for attracting and retaining top-tier talent in Data Science and AI at Panda?

The real challenge with AI integration is making sure it delivers tangible value rather than becoming just another industry buzzword. Data Science leaders are looking for assurance that their efforts will lead to meaningful, impactful outcomes, not just theoretical gains. Additionally, it’s critical to keep talent engaged beyond the initial 'building phase' of projects. Often, we notice a drop in interest and retention during this stage, which can lead to challenges in maintaining momentum. Keeping teams motivated and aligned with long-term goals is key to driving sustained success in AI initiatives.

Looking ahead, what long-term changes or impacts do you hope to make at Panda? 

My primary focus is to strengthen Panda’s presence in the U.S. market while ensuring that digital transformations within the life sciences industry are both seamless and impactful. Beyond this, I am deeply passionate about increasing female participation in AI. I’m committed to helping companies develop strategies that make this vision a reality, fostering diversity and creating more opportunities for women in the tech space. It’s about driving meaningful change in both business outcomes and industry culture.

What's next?

Eleanor Noble’s vision for her role at Panda Intelligence is not only to expand the company’s reach but also to make significant strides in how life sciences companies leverage AI and Data Science. With Eleanor at the helm of talent solutions, Panda is set to redefine recruitment standards in this innovative sector.

Whether you're a company seeking experienced  AI and Data Science professionals or a candidate looking to advance your career in this critical field, Elenore is here to help.

Reach out to us Eleanor today to discover how she can support your next step:
Email: e.noble@panda-int.com
Phone: +31 (0)20 2044 502