At a Glance
- Tasks: Collaborate on AI projects, develop deep learning models, and gain hands-on experience.
- Company: Join AstraZeneca, a leader in innovative healthcare with a supportive culture.
- Benefits: Paid internship, mentorship, learning opportunities, and exposure to cutting-edge AI technologies.
- Other info: Dynamic environment with excellent career growth and a focus on inclusivity.
- Why this job: Make a real impact in AI while building your professional network and skills.
- Qualifications: Passion for AI, good understanding of deep learning, and experience with Python and PyTorch.
The predicted salary is between 20000 - 30000 £ per year.
10–12-week development experience running through the summer months each year. Internships are meant to be a catalyst in helping students gain hands-on learning & exposure to the career they’re pursuing. Internships benefit students by supporting them to:
- Build their professional network.
- Gain relevant experience for post-graduation opportunities.
- Expose them to AstraZeneca as a possible future employer.
Intern Eligibility Requirements:
- Students must be 18 years or older at time of hire; and not require sponsorship to work in the UK.
- Students pursuing undergraduate, masters or doctoral degree.
- A salary will be paid.
We are looking for a talented AI Scientist Intern to join our team for an exciting internship opportunity. As an intern, you will work closely with our experienced AI scientists, gaining practical experience in deep learning, diffusion models, and leveraging PyTorch and Python for AI model development. While prior experience is a plus, we value enthusiasm, a willingness to learn, and a passion for AI.
Responsibilities:
- Collaborate with the AI research team to develop and implement deep learning models.
- Assist in projects involving diffusion models and their applications.
- Learn and apply PyTorch and Python for AI model development.
- Contribute to the design and execution of experiments under guidance.
- Work on real-world projects with opportunities for skill development.
Requirements:
- Enthusiasm and passion for AI and machine learning.
- Good understanding of deep learning concepts.
- Good experience with Python and PyTorch.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
Desired Qualifications:
- Projects related to diffusion models.
- Working knowledge in protein engineering is a bonus.
What We Offer:
- Learning and development opportunities with hands-on AI projects.
- Mentorship from experienced AI scientists.
- Exposure to the latest technologies and methodologies in AI.
- A collaborative and inclusive work environment.
At AstraZeneca, we put patients first and strive to meet their unmet needs worldwide. We’re deeply committed to our strategy of being a great place to work. For us, that includes fostering an environment where everyone can be among inclusive, supportive individuals with curious minds. A company that genuinely follows the science and values individuals at all levels, you’ll be backed and encouraged to speak up, ask questions, and share ideas to push the boundaries of science and continuously learn and explore. Our purpose is bold and so is our approach. Becoming a more agile and innovative company means building a dynamic, inspiring culture where we celebrate entrepreneurial thinking and act with a sense of urgency. We are courageous, taking risks and learning from both success and failure. We are curious, creative, and open to new ideas and ways of working. Above all, we are passionate about science and driven to always put patients first. When you join us, you will be part of a great place to work; in an environment that energizes and empowers each of us to achieve our goal to develop and deliver medicines.
AI Research Intern: Deep Learning & Diffusion (Summer) in Cambridge employer: AstraZeneca Pharmaceuticals Inc
AstraZeneca is an exceptional employer that prioritises the growth and development of its interns, offering a collaborative and inclusive work environment where innovation thrives. As an AI Research Intern, you will gain hands-on experience in cutting-edge AI technologies while being mentored by experienced professionals, all within a company that values curiosity and encourages you to contribute your ideas. With a commitment to fostering a dynamic culture, AstraZeneca not only supports your professional network but also positions you for future opportunities in a leading global healthcare organisation.
Contact Details:
AstraZeneca Pharmaceuticals Inc Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Research Intern: Deep Learning & Diffusion (Summer) in Cambridge
✨Network Like a Pro
Get out there and connect with people in the AI field! Attend meetups, webinars, or even online forums. The more you engage, the better your chances of landing that internship.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of projects you've worked on, especially those involving deep learning and diffusion models. This will make you stand out when you apply through our website.
✨Ask Questions
During interviews or networking events, don’t hesitate to ask questions about the role or the company. It shows your enthusiasm and helps you learn more about what they’re looking for in an intern.
✨Follow Up
After any interaction, whether it's an interview or a networking event, send a quick thank-you email. It keeps you fresh in their minds and shows your professionalism. Plus, it’s a great way to express your continued interest in the position!
We think you need these skills to ace AI Research Intern: Deep Learning & Diffusion (Summer) in Cambridge
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI and machine learning shine through. We want to see your genuine interest in the field, so share any projects or experiences that highlight your passion!
Tailor Your Application:Make sure to customise your application to fit the role. Highlight your experience with Python and PyTorch, and mention any relevant coursework or projects related to deep learning and diffusion models. This helps us see how you fit into our team!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language and avoid jargon where possible. We appreciate well-structured applications that are easy to read and understand!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at AstraZeneca Pharmaceuticals Inc
✨Know Your Stuff
Make sure you brush up on deep learning concepts and diffusion models before the interview. Familiarise yourself with PyTorch and Python, as these are key tools for the role. Being able to discuss your understanding and any relevant projects will show your enthusiasm and readiness to learn.
✨Show Your Passion
During the interview, let your passion for AI and machine learning shine through. Share any personal projects or experiences that sparked your interest in the field. Companies like AstraZeneca appreciate candidates who are genuinely excited about their work and eager to contribute.
✨Ask Smart Questions
Prepare thoughtful questions about the team, projects, and the company culture. This not only shows your interest but also helps you gauge if the environment is a good fit for you. Asking about mentorship opportunities can also highlight your eagerness to learn and grow.
✨Be Yourself
Don’t be afraid to let your personality come through during the interview. AstraZeneca values individuals who are curious and creative, so being authentic can help you stand out. Remember, they’re looking for someone who fits into their collaborative and inclusive culture.
