At a Glance
- Tasks: Explore and apply machine learning skills in drug discovery and development.
- Company: Join AstraZeneca, a global leader in biopharmaceuticals making a real impact.
- Benefits: Paid internship with hands-on experience and networking opportunities.
- Other info: Diverse and inclusive team environment with excellent career growth potential.
- Why this job: Work on innovative projects that change lives while developing your skills.
- Qualifications: Master's or PhD students in relevant fields with coding experience in Python.
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.
About the organization: AstraZeneca is a global, biopharmaceutical business that focuses on the discovery, development and commercialization of prescription medicines, primarily for the treatment of cardiovascular, metabolic, respiratory, inflammation, autoimmune, oncology, infection and neuroscience diseases. AstraZeneca operates in over 100 countries and its innovative medicines are used by millions of patients worldwide.
Description: DS&AI is a new department at AZ, and we are embedding data science and Artificial Intelligence (AI) across our R&D to enable our scientists to push the boundaries of science to deliver life-changing medicines. We are currently seeking candidates who are working towards acquiring Master, or Doctorate degree in Machine Learning, Computer Science, Statistics, Mathematics, Data Science, Computational Biology/Chemistry, Physics for a 9-12 week internship contract during the summer of 2023. Multiple positions are available, and projects will be allocated depending on specific candidate experiences.
Objectives/Goals of the Position:
- Explore, develop, and apply machine learning skills within Drug Discovery & Development.
Primary Duties:
- Support AstraZeneca ML researchers in developing and implementing ML models for problems such as image and video understanding, cough detection, learning from graphs, synthetic data generation, protein fold prediction, antibody design and optimisation, active learning etc.
Position Requirements:
- Master's or PhD students pursuing degrees in Machine Learning, Computer Science, Statistics, Mathematics, Data Science, Computational Biology/Chemistry, Physics or other related fields.
- Coding experience in Python and PyTorch.
- Advanced level skills in Deep Learning, working knowledge in Statistics. Hands-on experience in domains such as representation learning, causal inference, probabilistic models, geometric deep learning, generative models etc. is desired.
- Authorized to work in the UK.
AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.
Summer ML Research Intern – Data Science & Drug Discovery in Cambridge employer: AstraZeneca Pharmaceuticals Inc
AstraZeneca is an exceptional employer, offering a dynamic and inclusive work culture that fosters innovation and collaboration in the biopharmaceutical industry. As a Summer ML Research Intern, you'll gain invaluable hands-on experience while working alongside leading experts in data science and drug discovery, all within a supportive environment that prioritises professional growth and networking opportunities. With a commitment to diversity and equality, AstraZeneca ensures that every intern can contribute meaningfully to life-changing projects that impact millions of patients worldwide.
Contact Details:
AstraZeneca Pharmaceuticals Inc Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Summer ML Research Intern – Data Science & Drug Discovery in Cambridge
✨Network Like a Pro
Get out there and connect with people in the industry! Attend events, join online forums, or even reach out to alumni from your university. Building relationships can open doors to opportunities that aren’t advertised.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of your projects, especially those related to machine learning and data science. This will give potential employers a tangible sense of what you can do.
✨Prepare for Interviews
Practice makes perfect! Brush up on common interview questions, especially technical ones related to ML and coding. Mock interviews with friends or mentors can help you feel more confident when the real deal comes along.
✨Apply Through Our Website
Make sure to apply directly through our website for the best chance at landing that internship! We love seeing candidates who are proactive and genuinely interested in joining our team at AstraZeneca.
We think you need these skills to ace Summer ML Research Intern – Data Science & Drug Discovery in Cambridge
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role you're applying for. Highlight relevant skills and experiences that align with the internship's focus on machine learning and data science. We want to see how your background fits into our world!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and drug discovery. Share specific examples of your work or projects that demonstrate your skills and enthusiasm for the field.
Showcase Your Coding Skills:Since coding is a big part of this role, make sure to mention your experience with Python and PyTorch. If you've worked on any relevant projects, don't hesitate to include them. We love seeing practical applications of your skills!
Apply Through Our Website:We encourage you to apply through our website for a smooth application process. It’s the best way to ensure your application gets to us directly, and we can’t wait to see what you bring to the table!
How to prepare for a job interview at AstraZeneca Pharmaceuticals Inc
✨Know Your Stuff
Make sure you brush up on your machine learning concepts and the specific projects mentioned in the job description. Familiarise yourself with AstraZeneca's work in drug discovery and how data science plays a role in it. This will show that you're genuinely interested and prepared.
✨Showcase Your Skills
Prepare to discuss your coding experience, especially in Python and PyTorch. Have examples ready that demonstrate your advanced skills in deep learning and any hands-on projects you've worked on. This is your chance to shine, so make it count!
✨Ask Smart Questions
Interviews are a two-way street! Prepare thoughtful questions about the team, the projects you'll be working on, and how they integrate AI into their research. This not only shows your enthusiasm but also helps you gauge if this is the right fit for you.
✨Be Yourself
AstraZeneca values diversity and inclusion, so don’t be afraid to let your personality shine through. Share your unique experiences and perspectives, as they can set you apart from other candidates. Authenticity goes a long way!
