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- Tasks: Conduct cutting-edge research in Agentic AI and develop reliable autonomous systems for healthcare.
- Company: Join a dynamic team at IQVIA, leading the way in innovative AI solutions.
- Benefits: Enjoy a hybrid/remote work environment with opportunities for professional growth.
- Why this job: Make a real impact in healthcare by advancing autonomous AI technologies.
- Qualifications: 5+ years of experience in AI, with strong skills in foundation models and autonomous systems.
- Other info: Collaborate with top researchers and publish in leading conferences while mentoring others.
The predicted salary is between 36000 - 60000 £ per year.
Our Advanced AI Group is a dynamic, rapidly expanding team of collaborative and innovative AI researchers within the IQVIA Applied Science organization. The team is focused on pushing the boundaries of foundation models and autonomous systems, with recent contributions to the field, including publications at ICML on ontology-enhanced LLMs for healthcare applications. We strive to develop practical, reliable AI solutions that combine the power of large language models with structured knowledge and autonomous reasoning capabilities.
We are seeking an AI Scientist to join our team and contribute to the field of Agentic AI and intelligent systems. This role offers an exciting opportunity to drive advancements in autonomous AI systems in healthcare, publish high-impact research, and explore novel approaches to model routing and workflow verification. You will work at the intersection of foundation models, autonomous systems, and healthcare applications, helping to shape the future of AI in healthcare.
As part of the team, you will collaborate closely with cross-functional teams, employing a research-driven approach to tackle complex problems in Agentic AI and autonomous systems. Your responsibilities will include:
- Conducting original research, publishing in top-tier conferences and journals, and developing cutting-edge solutions for healthcare applications.
- Designing and validating autonomous AI systems capable of processing and acting upon healthcare information with reliability and safety.
Responsibilities
- Conduct research in Agentic AI, focusing on reliable autonomous systems for healthcare applications.
- Develop methods for intelligent model routing and verification of autonomous workflows.
- Design and execute experiments to validate the safety and reliability of AI systems.
- Publish findings in leading conferences (NeurIPS, ICML, etc.) and top-tier journals.
- Present research at scientific events and collaborate with the broader AI community.
- Provide technical guidance on developing autonomous AI systems.
- Stay current with advances in Agentic AI and foundation models.
- Mentor and collaborate with team members to foster technical excellence.
- Effectively communicate research findings to both technical and non-technical audiences.
- Partner with internal and external clients to understand business needs, design autonomous AI solutions, and guide implementation.
Qualifications
- Senior level (5+ years of experience).
- Advanced Degree in Computer Science, Machine Learning, Statistics, Physics, Math, or a related field.
- Strong experience with foundation models and autonomous systems development.
- Proficiency in libraries such as HuggingFace Transformers, PyTorch, and TensorFlow.
- Experience with agentic AI frameworks including LangChain, LangGraph, AutoGen, and CrewAI.
- Expertise in developing autonomous AI systems, including familiarity with formal verification methods.
- Experience with orchestration tools for multi-agent systems.
- Ability to communicate complex AI capabilities and limitations clearly.
- Experience working with large, real-world datasets.
- A strong publication record in machine learning conferences is preferred.
Personal Skills and Behaviours
- Passion for advancing practical applications of AI through research.
- Excellent interpersonal and verbal communication skills.
- Strong collaborative problem-solving skills.
- Proven time management and organizational abilities.
- Familiarity with agile development practices.
- Ability to adapt to evolving technical requirements.
The Team IQVIA Applied AI Science empowers leaders in healthcare and business to unleash the full potential of artificial intelligence, responsibly and reliably. We use AI to safely transform vast stores of diverse data and content, driving measurable impact across the healthcare and life sciences continuum. This includes a focus on ensuring the highest quality data inputs needed to achieve and sustain the benefits of trustworthy AI.
AI Scientist – Agentic AI / Gen AI / LLM employer: NLP PEOPLE
Contact Detail:
NLP PEOPLE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Scientist – Agentic AI / Gen AI / LLM
✨Tip Number 1
Network like a pro! Reach out to folks in the AI community, attend meetups, and engage on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to Agentic AI or autonomous systems. We love seeing practical applications of your work, so make sure to highlight any publications or experiments you've conducted.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of foundation models and autonomous systems. We recommend practising common interview questions and even doing mock interviews with friends or mentors to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate individuals ready to push the boundaries of AI in healthcare.
We think you need these skills to ace AI Scientist – Agentic AI / Gen AI / LLM
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Scientist role. Highlight your experience with foundation models and autonomous systems, and don’t forget to mention any relevant publications. We want to see how your background aligns with our focus on healthcare applications!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about Agentic AI and how your skills can contribute to our team. Be sure to mention specific projects or experiences that relate to the job description.
Showcase Your Research Skills: Since publishing in top-tier conferences is part of the gig, make sure to highlight your research experience. Talk about your past projects, especially those involving intelligent model routing or workflow verification. We love seeing your innovative side!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Don’t miss out on this opportunity!
How to prepare for a job interview at NLP PEOPLE
✨Know Your AI Stuff
Make sure you brush up on the latest advancements in Agentic AI and foundation models. Be ready to discuss your experience with libraries like HuggingFace Transformers and PyTorch, as well as any projects you've worked on that relate to autonomous systems.
✨Show Off Your Research Skills
Prepare to talk about your publication record and any significant research contributions you've made. Highlight your experience presenting at conferences like NeurIPS or ICML, and be ready to explain complex concepts in a way that's easy for non-technical folks to understand.
✨Collaborative Spirit is Key
Since this role involves working closely with cross-functional teams, think of examples where you've successfully collaborated on projects. Emphasise your problem-solving skills and how you’ve mentored others in the past to foster a strong team environment.
✨Be Ready for Technical Questions
Expect some deep dives into technical topics, especially around model routing and verification methods. Brush up on formal verification techniques and be prepared to discuss how you would approach designing reliable AI systems for healthcare applications.