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Company: AstraZeneca
Location: Mississauga, ON
Job description: 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 masters or doctoral program to join our team as a Summer intern and work on a highly visible protein engineering project. You will be responsible for training large language models in 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.
Accountabilities:
Develop training and fine-tuning strategies for improving large protein models.
Identify and prepare datasets for benchmarking large protein models for downstream applications.
Contribute to a large cross functional team at AstraZeneca responsible for redefining and accelerating our biologics drug development pipeline.
Essential Skills/Experience:
graduate in a masters or doctoral program
Available for an internship from May through August 2024
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, de novo protein design and adapt the learning to help solve open research problems.
Strong practical data science skills including the use of Python packages like 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.
Great People want to Work with us! Find out why:
Are you interested in working at AZ, apply today!
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 .
Date Posted 27-Feb-2024
Closing Date 10-Mar-2024
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.
AstraZeneca prides itself on fostering a collaborative culture that encourages knowledge-sharing, innovative thinking, and global teamwork. Employees are given the flexibility to balance personal and work commitments while still engaging face-to-face in the office three days a week. Sustainability is a core value at AstraZeneca, and the company is dedicated to addressing major challenges such as climate change and healthcare access. The Center for Artificial Intelligence (CAI) at AstraZeneca is seeking a graduate student to join as a summer intern on a protein engineering project involving machine learning. The company values diversity and inclusivity and is committed to providing equal opportunities for all candidates. Applications are welcomed from individuals with a wide range of backgrounds and perspectives.
Job Title: Full-time Warehouse Team Member
Location: Toronto, ON
Salary: $16.15 per hour
Job Description:
Our company is seeking a full-time Warehouse Team Member to join our team in Toronto, ON. The ideal candidate will be responsible for various duties within the warehouse, including receiving shipments, storing inventory, picking and packing orders, and maintaining a clean and organized workspace.
Responsibilities:
– Receive, unload, and store incoming shipments
– Pick and pack orders for shipment
– Maintain accurate inventory records
– Perform quality control checks on products
– Keep warehouse organized and clean
– Operate warehouse equipment, such as pallet jacks and forklifts
– Adhere to safety guidelines and procedures
Qualifications:
– High school diploma or equivalent
– Previous warehouse experience preferred
– Ability to lift heavy objects and stand for long periods
– Strong attention to detail
– Good communication and teamwork skills
If you are a reliable and hardworking individual with a positive attitude, we encourage you to apply for this position. We offer competitive pay, benefits, and opportunities for growth within our company. Apply today to join our dynamic team!
Expected salary:
Job date: Thu, 29 Feb 2024 03:21:41 GMT
