AI Jobs in Life Sciences: Your Quick Salary Guide for 2025

Companies are using AI to accelerate drug discovery from years to months, predict protein structures with unprecedented accuracy, and personalise treatments for individual patients. This technological shift is creating a massive demand for professionals who understand both biology and AI.

The numbers speak for themselves: AI specialists in life sciences now earn 30-50% more than their traditional counterparts, with the UK bioinformatics sector alone seeing salary increases of 23.33% year-on-year. The average bioinformatics salary has jumped to approximately €106,400 in 2025, and that's just the beginning.

Let's break down the hottest AI roles in life sciences and what you can expect to earn:

Salary ranges are based on Panda's 2024 Salary Report, available here: Panda 2024 Life Sciences Industry Report

For the most exceptional AI talent in life sciences, salaries can reach astronomical levels. Top-tier AI specialists at leading pharmaceutical companies can command packages of €345,000–€575,000 or more. These positions typically require:

• Advanced degrees (PhD) in relevant fields

• Significant industry experience

• Proven track record of successful AI implementations

• Leadership and strategic thinking capabilities

Companies like GSK, AstraZeneca, and Novartis are competing fiercely for this talent, driving salaries to levels previously reserved for C-suite executives.

Several factors contribute to the impressive compensation in AI life sciences:

1. Talent Shortage

There simply aren't enough qualified professionals to meet demand. The field requires a unique combination of biological knowledge and AI expertise that few people possess.

2. High Impact Potential

AI applications in life sciences can literally save lives and generate billions in revenue. Companies are willing to pay premium salaries for professionals who can deliver these results.

3. Rapid Industry Growth

The AI healthcare market is projected to reach €752.6 billion by 2030, up from about €123.8 billion in 2023. This explosive growth is driving massive investment in talent.

4. Competition for Top Talent

Major pharmaceutical companies, biotech startups, and tech giants are all competing for the same pool of qualified professionals.

To maximise your earning potential in AI life sciences, focus on developing these high-value skills:

Technical Skills:

• Python and R programming

• Machine learning frameworks (TensorFlow, PyTorch)

• Cloud platforms (AWS, Azure, Google Cloud)

• Bioinformatics tools and databases

• Statistical modelling and analysis
  
  

Domain Expertise:

• Drug discovery processes

• Clinical trial design

• Regulatory affairs

• Genomics and proteomics

• Molecular biology
  
  

Soft Skills:

• Cross-functional collaboration

• Communication with non-technical stakeholders

• Project management

• Strategic thinking

Getting started in AI life sciences doesn't necessarily require starting from scratch. Many professionals successfully transition from traditional roles by upskilling in AI technologies:

For Life Sciences Professionals: Add AI and data science skills through online courses, bootcamps, or formal educationprograms.

For AI/Tech Professionals: Gain domain knowledge in biology, chemistry, or medicine through specialized programs or on-the-job learning.

For New Graduates: Look for interdisciplinary programs that combine life sciences with AI, or consider entry-level positions that offer training opportunities.

To maximise your success and earning potential:

1. Stay Current: The field evolves rapidly. Continuous learning isn't optional; it's essential.

2. Build a Portfolio: Showcase your AI projects, especially those with biological applications.

3. Network Actively: Attend conferences, join professional organisations, and engage with the community.

4. Consider Equity: Startups may offer lower base salaries but significant equity upside.

5. Be Strategic: Target companies and roles aligned with your interests and growth goals.

AI jobs in life sciences represent one of the most exciting and lucrative career paths available today. With salaries ranging from £€40,000 for entry-level positions to over €500,000 for top-tier talent, for top-tier talent, the financial rewards match the intellectual satisfaction of working on problems that can improve human health.

Whether you're a seasoned professional looking to transition or a newcomer deciding on a career path, the AI life sciences sector offers great opportunities. The key is to start building the right combination of technical skills and domain knowledge, and to act quickly, as the best opportunities go to those who get in early.

The future of medicine is being written in code, and there's never been a better time to be part of this revolutionary transformation.

If you would like to discuss your talent strategy or share your own experiences, we’re always open for a chat, no pressure, just a genuine conversation about what matters to you and your team - get in touch with our team today!