Data Science (Machine Learning Research) Summer Internship in Cambridge

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.

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.

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.