At a Glance
- Tasks: Design and develop AI solutions to tackle complex challenges in the pharmaceutical industry.
- Company: Join AstraZeneca, a leader in life-changing medicines and innovative science.
- Benefits: Competitive salary, excellent benefits, and a culture of continuous learning.
- Other info: Collaborative environment with opportunities for career growth and innovation.
- Why this job: Make a real impact on patients' lives while pushing the boundaries of technology.
- Qualifications: Experience in operations research, mathematical optimisation, and software development.
The predicted salary is between 65250 - 79750 £ per year.
Location: Cambridge UK
Salary: Competitive + Excellent Benefits
Do you have expertise in, and passion for Operations Research and AI? Would you like to apply your modelling expertise in a company that follows the science and turns ideas into life changing medicines? Then AstraZeneca might be the place for you!
At AstraZeneca, we are committed to being a great place to work, where people are empowered to push the boundaries of science and make a meaningful impact on patients, medicine, and society. We foster an inclusive culture built on diversity, collaboration, and continuous learning. In technology, you will be encouraged to take ownership, challenge the status quo, and drive innovation. By enabling the business to operate faster and more effectively, you will help deliver solutions that ultimately improve lives around the world.
What you’ll do
The ideal candidate will bring proven experience in designing, developing, and supporting end-to-end AI and optimisation solutions across a broad range of business challenges. This role offers the opportunity to work on some of the most complex and high-impact AI and optimisation engineering problems in the pharmaceutical industry. As part of a global team of AI engineers, data scientists, scientists, and software developers, you will help design, build, and support tools that transform how AstraZeneca operates at scale, improving efficiency in our mission to benefit millions of patients worldwide. You will work closely with engineering and product teams to deliver and support scalable solutions within the AstraZeneca technology landscape, while championing software engineering best practices across the organisation. We are looking for an engineer who can build and maintain robust, accurate, and reliable end-to-end AI solutions used across AstraZeneca. You should be comfortable working with complex systems and applying AI and optimisation at scale to drive productivity and business impact.
Key Accountabilities
- Contribute to design and development of end-to-end AI solutions that include mathematical optimisation, modelling, and simulation approaches.
- Visualise complex datasets and model outputs using the latest front-end technologies.
- Work together with senior optimisation engineers and AI engineers in the team, focused on product delivery and support.
- Liaise with other engineers to enhance our technological stack, to enable the adoption of the latest advances in AI and software engineering.
- Contribute to various solutions and applications that may cover a broad range of business areas, sometimes at once.
- Be self-driven, curious, innovative, deeply technical and learn continuously.
Essential for the role
- Experience and demonstrable technical skills in developing operations research solutions for complex real-world problems.
- Demonstrated experience using mathematical optimisation software such as CPLEX, Gurobi, SCIP, or OR-Tools.
- Experience with heuristic and meta-heuristic algorithms as an alternative to the above software.
- A working knowledge of optimisation, simulation, and statistical concepts.
- A working knowledge of LLM tools.
- Experience in good software development practice, ideally including Python, and deployment practices such as CI/CD, testing, version control.
- A track record of understanding and translating complex business challenges into well-defined engineering problems.
Associate Principal AI Engineer - Mathematical Optimisation employer: AstraZeneca Plc
AstraZeneca is an exceptional employer that fosters a culture of collaboration and innovation, making it an ideal place for a Study Monitor Support Specialist. With a commitment to employee growth through lifelong learning opportunities and a flexible work environment, you will be empowered to contribute to groundbreaking medical advancements while enjoying a supportive team atmosphere. Located in a vibrant area, AstraZeneca offers the chance to work alongside passionate professionals dedicated to making a meaningful impact in healthcare.
StudySmarter Expert Advice🤫
We think this is how you could land Associate Principal AI Engineer - Mathematical Optimisation
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We think you need these skills to ace Associate Principal AI Engineer - Mathematical Optimisation
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at AstraZeneca Plc, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at AstraZeneca Plc. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at AstraZeneca Plc
✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
