Center for Artificial Intelligence Summer Intern - Graduate (M.S. or Ph.D.)
At AstraZeneca, we pride ourselves on crafting a collaborative culture that champions knowledge-sharing, ambitious thinking and innovation – ultimately providing employees with the opportunity to work across teams, functions and even the globe.
Recognizing the importance of individualized flexibility, our ways of working allow employees to balance personal and work commitments while ensuring we continue to create a strong culture of collaboration and teamwork by engaging face-to-face in our offices 3 days a week. Our head office and BlueSky Hub in downtown Toronto are purposely designed with collaboration in mind, providing space where teams can come together to strategize, brainstorm and connect on key projects.
Our dedication to sustainability is also central to our culture and part of what makes AstraZeneca a great place to work. We know the health of people, the planet and our business are interconnected which is why we’re taking ambitious action to tackle some of the biggest challenges of our time, from climate change to access to healthcare and disease prevention.
We are seeking a graduate in a master's or doctoral program to join our team as a summer intern and work on a highly visible protein engineering project. You will be working on improving structurally aware large language modelsin the protein space to accelerate our in-silico drug development pipeline while collaborating with experts in machine learning, computation biology, and in-silico protein structure prediction.
The Center for Artificial Intelligence (CAI) is a lab focused on applying machine learning research to the toughest challenges at AstraZeneca. We are a team of experts from different fields including Machine Intelligence, Data Science, Real World Evidence and Bioinformatics.
This role is a 4-month paid contract position, which starts in May 2025 and will end in August 2025. Our position will be based in our Mississauga head office and allow for flexible working arrangements working both onsite (3 times per week) and virtually.
If you are interested in this position, please submit your resume. If you wish, you may also submit a cover letter indicating your interest and availability. There is no need to submit any additional documentation such as transcripts or marksheets.
Accountabilities:
Develop training and fine-tuning strategies for improving large protein models.
Identify and prepare datasets for benchmarking structurally aware protein models withtrained structure-based tokenizers.
Contribute to a large cross functional team at AstraZeneca responsible for redefining and accelerating our biologics drug development pipeline.
Essential Skills/Experience:
Must be a Second year Masters / PhD student with a focus on machine learning/ AI and with a focus on drug discovery.
Strong foundational understanding of machine learning and deep learning concepts.
Demonstrable record of accomplishment of developing deep learning models used in real world applications.
Ability to read and interpret literature in the space of large language models, protein design and adapt the learning to help solve open research problems.
Strong practical data science skills including the use of Python packages like pytorch, pandas,numpy, and scikit-learn to transform datasets for model training and benchmarking.
Desirable Skills/Experience:
Experience working in a domain like protein engineering.
Experience working in a scientific research environment with cross-functional teams.
Understanding of the pharmaceutical industry and its processes.
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Are you interested in working at AZ, apply today!
AstraZeneca is committed to taking every reasonable precaution to protect employees, our customers and the healthcare systems in the communities in which we serve. In an effort to protect the wellbeing of our employees and customers, full COVID-19 vaccination is an essential requirement of all positions at AstraZeneca. As such, all offers of employment will be conditional upon either (i) proof of full COVID-19 vaccination or (ii) proof of need for accommodation under relevant human rights legislation, and AstraZeneca’s determination that the requested accommodation can be provided without undue hardship. You will be required to submit proof of full vaccination or proof of need for accommodation during our background screening process.
AstraZeneca is an equal opportunity employer that is committed to diversity and inclusion and providing a workplace that is free from discrimination.
AstraZeneca is committed to accommodating persons with disabilities. Such accommodation is available on request in respect of all aspects of the recruitment, assessment and selection process and may be requested by emailing AZCHumanResources@astrazeneca.com.
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 authorisation and employment eligibility verification requirements.
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