Our expertise in AI recruitment is unmatched. We focus on candidates who can develop intelligent systems that can learn from data, make decisions, and interact with the environment. Whether it's robotics, computer vision, or natural language processing, we find the talent that can bring your AI initiatives to life.
As a specialist Data & AI recruiter in life sciences, we build teams that take projects from raw datasets to deployed models, helping organisations move faster, make smarter decisions, and operate confidently in an increasingly regulated landscape.
Roles We Place in Data & AI
- AI / Machine Learning Engineer
- Bioinformatician
- Computer Vision Engineer
- Computational Biologist
- Data Scientist / Data Engineer
Specialists in Data & AI Recruitment
Whether you're setting up a new AI function inside a global pharma or scaling a data-native start-up tackling drug discovery, we know what good Data & AI hiring looks like in life sciences. Our consultants know this market inside and out; they understand the difference between a generalist data scientist and someone who can deliver inside a GxP environment, and they build shortlists that reflect it.
Our network of bioinformaticians brings together computational power and biological insight. Skilled in next-generation sequencing analysis, pipeline development, and database integration, these specialists help organisations unlock the value of genomic and molecular data to drive research, precision medicine, and therapeutic innovation.
We specialise in sourcing computer vision experts who push the boundaries of visual data interpretation in life sciences. From advanced image analysis and object detection to deep learning for medical imaging, our candidates enable more accurate diagnostics, faster drug discovery, and cutting-edge innovation in healthcare technology.
We look beyond raw technical credentials. The Data & AI hires who succeed in life sciences combine model-building skill with an understanding of regulated data, scientific context, and the messiness of real research environments. Our strong European network enables us to source both permanent and contract specialists across all Life Science Divisions.
At Panda Intelligence, we connect organisations with computational biologists who bridge biology and technology. Our candidates are experts in modelling biological systems, analysing high-throughput data, and integrating multi-omics datasets. They help accelerate discovery and development by turning complex biological questions into clear, data-driven answers.
At Panda Intelligence, we excel in identifying data specialists who can transform raw data into actionable insights. Our candidates are proficient in statistical analysis, data mining, data engineering and data visualisation, ensuring that your organisation can make data-driven decisions effectively.
We understand that machine learning is the backbone of many modern technological advancements in life sciences. Our candidates are skilled in algorithms, natural language processing, and predictive analytics. They can help you automate processes, improve diagnostics, and even predict patient outcomes.
Looking for your next role in Data & AI?
Your next career move starts here. Whether you're searching for a fresh challenge or the next step up, we work with you to find the role and the team that fit.
Explore our latest opportunities today:
Why work with us?
Data & AI in life sciences are moving faster than in almost any other discipline. Model capabilities, regulatory expectations, and talent rates are all shifting on a quarterly basis and staying competitive means hiring people who are already ahead of where the market is going. Here is why you should work with us:
Investing in Data & AI without a clear strategy can lead to costly mistakes and wasted resources. We help you develop a data strategy perfectly aligned with your business goals, ensuring you invest in the right areas for maximum impact.
In the complex landscape of data science recruitment, it's easy to get lost. We bring clarity and precision to the complex world of data science recruitment, ensuring that you're not just hiring a coder with a data science certificate.
The regulatory landscape for data in Life Sciences is complex and ever-changing. Our consultants are experts in navigating this treacherous terrain, ensuring that your data is handled and analysed in full compliance with current regulations. From GDPR to FDA guidelines, we've got you covered.
Leveraging our experience in life sciences recruitment, we offer our clients a diverse, high-quality talent pool tailored to their needs.
Testimonials
Trusted by Leading Life Science Companies
Working with Panda has been a great experience from the start. Even in a highly competitive Dutch market, they continue to surprise us by delivering well-matched, high-quality candidates at speed. Their communication is always open and honest, even when challenges arise, which builds real trust.
What stands out is that they go far beyond CV matching. They understand our business, support with visa processes, and offer practical solutions when things get complex. It feels like a true partnership—collaborative, reliable, and focused on outcomes that matter to us.
HR Manager
Within the biopharmaceutical contract industry, you need to act fast. Panda was able to deliver a shortlist of good candidates fast.The interactions with the Panda consultants was very good. We are very pleased with their support and professionality and certainly will consider them for future assignments.
Chief Development Officer
Our HR initially set up the relationship after we had difficulty filling a Quality Engineer position in my team. The relationship with Panda was excellent from the beginning.What I like most about Panda and their consultants, more than other companies, is that they actually listen to my feedback and improve results upon it.I really notice that other parties keep sending candidates that are available, but not necessarily the ones that are the best match. Again, the consultants at Panda are very good listeners and adjusts their course accordingly, but they are also not afraid to let me know what is realistic or not. I would strongly recommend Panda.
QA / RA Manager
Frequently Asked Questions
The biggest challenge isn't a shortage of AI talent; it's a shortage of AI talent that can deliver inside life sciences. Compensation expectations have reset sharply, GxP-aware engineers are genuinely scarce, model and tooling change is constant, and unclear internal AI strategies make it hard to write a brief that strong candidates will say yes to.
Compete on proposition, not just salary, in a global market, you'll rarely win on pay alone. The strongest AI candidates evaluate the problem, the data, the team, and how clearly the organisation has thought about where AI fits commercially before they evaluate compensation.
Most senior AI and machine learning hires close within five to twelve weeks, with leadership appointments often running longer. Timeline depends less on candidate scarcity and more on how sharply the role is scoped, how quickly internal decisions move, and how competitive the proposition is.
Prioritise the combination, not the certificate. Modelling, MLOps, and statistical rigour are table stakes. The hires who succeed in the life sciences combine that with fluency in regulated data, scientific context, and the judgment to know when a model is ready to deploy.