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- Tasks: Join us to revolutionise drug development using AI and multi-agent systems.
- Company: AstraZeneca's PT&D transforms science into life-saving medicines for millions.
- Benefits: Enjoy a dynamic work environment with opportunities for professional growth.
- Why this job: Be at the forefront of innovative medical treatments and impactful AI strategies.
- Qualifications: Advanced degree in relevant fields and proficiency in Python, R, and AI frameworks required.
- Other info: No telecommuting; this role is perfect for those eager to make a difference.
The predicted salary is between 48000 - 72000 £ per year.
We are seeking Associate Principal AI Data Scientists passionate about agentic AI and multi-agent systems to transform drug development processes. In the PT&D department, you will play a key role in converting molecules into innovative medical treatments. PT&D specializes in developing advanced synthetic routes, drug formulations, and delivery technologies to ensure efficacy, safety, and quality.
Your responsibilities include:
- Applying data science expertise to global pharmaceutical development projects
- Supporting the transformation of medicine delivery
- Shaping our AI strategy with the development of sophisticated HITL multi-agent systems
Requirements:
- Advanced degree in computer science, data science, AI, machine learning, or related fields
- Proficiency in programming languages such as Python and R
- Experience designing multi-agent systems, digital twins, agentic AI, reinforcement learning
- Experience with AI and ML frameworks like TensorFlow, PyTorch
- Experience with GenAI orchestration frameworks such as LangGraph, CrewAI
- Experience with reinforcement learning libraries like OpenAI Gym, Ray RLlib, or Stable Baselines
- Experience in applied machine learning domains such as deep learning, NLP, GenAI
About the Company: Pharmaceutical Technology and Development (PT&D) at AstraZeneca transforms science into medicines that help millions. We design and deliver active ingredients, formulations, and devices, providing technical support to ensure successful supply of medicines.
Associate Principal AI Data Scientist employer: Python Software Foundation
Contact Detail:
Python Software Foundation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate Principal AI Data Scientist
✨Tip Number 1
Familiarise yourself with the latest advancements in agentic AI and multi-agent systems. Being able to discuss recent developments or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the pharmaceutical and AI sectors. Attend relevant conferences or webinars where you can meet industry experts and learn more about the challenges they face, which can help you tailor your approach when discussing your fit for the role.
✨Tip Number 3
Prepare to showcase your experience with specific AI and ML frameworks mentioned in the job description. Be ready to discuss projects where you've successfully implemented these technologies, as practical examples can significantly strengthen your candidacy.
✨Tip Number 4
Understand AstraZeneca's mission and values, particularly in relation to drug development. Aligning your personal goals with their objectives can help you articulate why you're a great fit for the Associate Principal AI Data Scientist position during interviews.
We think you need these skills to ace Associate Principal AI Data Scientist
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the key responsibilities and requirements. Highlight your experience with agentic AI, multi-agent systems, and relevant programming languages in your application.
Tailor Your CV: Customise your CV to reflect your expertise in AI, machine learning, and data science. Emphasise your experience with specific frameworks like TensorFlow and PyTorch, as well as any projects involving reinforcement learning or digital twins.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for transforming drug development through AI. Mention specific examples of your work with multi-agent systems and how it aligns with the company's mission at AstraZeneca.
Proofread and Edit: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. Ensure that your application is clear, concise, and professional to make a strong impression.
How to prepare for a job interview at Python Software Foundation
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in programming languages like Python and R during the interview. Be prepared to discuss specific projects where you've designed multi-agent systems or applied reinforcement learning, as this will demonstrate your hands-on experience.
✨Understand the Company's Mission
Familiarise yourself with AstraZeneca's focus on transforming drug development processes. Being able to articulate how your skills can contribute to their mission of delivering innovative medical treatments will set you apart from other candidates.
✨Prepare for Technical Questions
Expect in-depth technical questions related to AI frameworks such as TensorFlow and PyTorch. Brush up on your knowledge of GenAI orchestration frameworks and be ready to explain how you've used them in past projects.
✨Demonstrate Problem-Solving Skills
Be prepared to discuss specific challenges you've faced in your previous roles and how you overcame them. This could include examples of how you've applied machine learning in real-world scenarios, showcasing your ability to think critically and adapt.
