Senior Mathematical Optimisation Engineer

Do you haveexpertisein, and passion forOperationsResearchandAI?Would you like to apply yourmodellingexpertiseina company that follows the science and turns ideas into life changing medicines? Then AstraZenecamight be theplacefor you!

Join us as Senior Mathematical Optimisation Engineer at our vibrant site in Gothenburg, Sweden.

Disrupt an industry and change lives

At AstraZenecawe arededicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit.There’sno better place to make a difference to medicine,patients,and society. An inclusive culture that champions diversity and collaboration. Always committed to lifelong learning,growth,and development.

Working in Technology here meansyou willbe a self-starter who is comfortable stepping up and taking ownership, willing to constantly explore and challenge the status quo.You willbe empowered to orchestrate new possibilities, solve challenges, pushboundaries,and continuously innovate.We impactpatients’lives. Empowering and enabling the business to runmore efficiently, we play a part in improving lives across the world!

What you´ll do

The ideal candidate will have provenexpertiseandexperience indesigning,developing,and supportingmathematicaloptimisation, simulation,and/ormachinelearningsystemsend-to-endacrossa wide range of business problems.

The position will involveworking on themost excitingand hardestOperations Researchand AIengineeringproblems in the pharmaceutical industry. You will work within a global team of deeply technicalOperations Research engineers,AIengineers,andsoftware developers. You will contribute to the design, development, and support of tools that will transform how AstraZenecaoperatesat scale,makingus more efficient in our goal to improve the lives of millions of patients across the globe.

Key Accountabilities

• Contribute to design anddevelopmentof end-to-endOperations Researchor AIsolutionsfor the business.

• Visualise complex datasets and model outputs using the latest front-end technologies.

• Work together with senioroptimisation engineersand AI engineersin the team,focussed onproduct deliveryand support.

• Liaise with otherengineersto enhance our technological stack,to enable the adoption of the latest advances insoftware engineering.

• Contribute to various solutions and applicationsthat may cover a broad range of business areas, sometimes at once.

• Beself-driven,curious, innovative,deeply technicalandlearncontinuously.

Essential for the role

• PhD or MScin Operations Research,Computer Science,orarelatedquantitativesubject.

• 5+ years of experience and demonstrable technical skills indevelopingprescriptive and predictive solutionsfor complex real-world problems.

• Proven, hands-on coding experience,and

• Demonstratedexperienceusing mathematicaloptimisationsoftware such as CPLEX,Gurobi, XPRESS or OR-Tools.

• A working knowledge of optimisation concepts.

• Proficient programmer, ideally with a background in Python.

• A track recordof understanding and translatingcomplexbusiness problems into engineering problems.

• Knowledge of software development best practices and deployment practices such as CI/CD, testing, version control.

• Ability to explain and presentconcepts and resultsto a broad audience.

• Creative, collaborative, & product focused.

Desirable for the role

• Hands-on experiencein developing interactive AI applications (e.g., full-stack apps).

• Experience in the deployment of AI tools.

So,what’snext?

Be part of something where your work directlyimpactsa big purpose: to develop life-changing medicines. Join Us!

We look forward to reviewing your application. Please apply as soon as possible but no later thanMarch 16.

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.