AstraZeneca Student Work Placement - Data Science and AI

Arbetsbeskrivning

12 Months Data Science and Artificial Intelligence – Student Work Placement
About AstraZeneca
AstraZeneca is a global, science-led biopharmaceutical business and its innovative medicines are used by millions of patients worldwide. AstraZeneca has long been an advocate of student work placement training. AstraZeneca considers its responsibility to help promising scientists develop into the researchers of the future, by immersing them in a world of practical science. This is achieved by aligning each student with a research team working on ground breaking drug discovery projects. You will feel trusted and empowered to take on new challenges, but with all the help and mentorship you need to succeed.
Introduction to role
The Data Science and Artificial Intelligence Student Work Placement Programme offers an outstanding 12-month placement that immerses you in the world of innovative drug discovery. At AstraZeneca, you will push the boundaries of science to deliver life-changing medicines. Engage in substantial work within a groundbreaking research and development organization, develop essential skills, expand your knowledge, and build a network that will set you up for future success. Join a team of curious, hard-working, and open-minded professionals eager to learn and grow in a truly collaborative and global environment.
Accountabilities
We offer 12-month placements at AstraZeneca’s Gothenburg site in Sweden for students from Swedish institutions. These placements provide an opportunity to apply ML/AI in an industrial setting. You will present your work to scientists and wider teams, improving your communication skills and developing a range of transferable skills. Placement students will be hosted in either the Molecular AI department, Data Science department, or the Centre for Artificial Intelligence and employed by AstraZeneca’s Early Talent partner Kelly Services and Poolia AB.
Molecular AI:
Develop tools and models to accelerate drug discovery using machine learning, artificial intelligence, and molecular simulations.
Contribute to and improve existing open-source platforms for molecular design, property prediction, and synthesis planning.

Data Science & Advanced Analytics:
Develop a robust system for detecting disease progression using advanced computational models and data-driven techniques.
Apply time-series data like patient records, biological markers, and imaging scans for disease evolution monitoring.
Employ sophisticated algorithms to identify patterns, trends, and anomalies that signal disease advancement.

Centre for AI:
Craft the future of healthcare by developing brand-new AI systems that align with strategic priorities.
Partner with Therapy Areas to push the boundaries of science and investigate AI's potential to improve the drug pipeline.
Connect teams to AI systems, expertise, and education to empower them in their individual programs.

Placements:
You will be embedded in one of AstraZeneca’s research teams working with world class scientists to deliver new medicines to patients. The majority of your time during the placement will be dedicated to a customized data science and AI project. You will be assigned a dedicated work placement Supervisor. You will have the opportunity to develop a range of transferable attributes including communication and presentation skills. You will also be given access to AstraZeneca’s early talent network.
Who can apply?
Join the Undergraduate Student Work Placement Programme and be part of making a difference, making connections, and gaining the tools and experience to open doors and fulfil your potential. In all our programmes we look for individuals who have drive, enthusiasm, strong team working skills and a desire to learn. Specific requirements are listed below.
Essential Skills/Experience
Students in any data science and artificial intelligence aligned course at a Swedish University, with a BSc or MSc or equivalent experience.
Completion of at least two years of university education at the time of starting the placement, with plans to return to complete studies after the placement ends.
Performing at a high level, with the potential to achieve a pass with distinction.
Eligibility to work in Sweden for 12 months from September 2025 without additional work permits.
Ability to arrange a study break from your university education to participate in the programme.
Previous programming experience is important for those interested in the Molecular AI programme.

AstraZeneca offers an environment where you can work on cutting-edge projects and contribute to meaningful research. As a developing professional, you’ll be trusted and empowered to take on new challenges with all the guidance you need. Working on innovative projects, you’ll have ample opportunities to show initiative and feel a real sense of ownership.
Additional Information:
Applications are now open until January 2025, with interviews to take place in March 2025. Start date 1st September 2025. Applications must be submitted in English.
After you submit your application, you will receive a link to complete your application where you will be invited to answer questions about your motivation for this placement and upload your English CV, transcripts if available and certificate of registration.
Please inform us if you require adjustment support when contacted to schedule an interview – necessary adjustments can be made for assessment centers.
This internship is a collaboration between AstraZeneca and Kelly Services. The employment relationship is with Kelly Services partner, Poolia AB.
Queries can be directed to rdplacementsstudentships@astrazeneca.com
Ready to make an impact? Apply now and join us on this exciting journey!

Sammanfattning

  • Arbetsplats: AstraZeneca / KellyOCG Sweden AB
  • 1 plats
  • 6 månader eller längre
  • Heltid
  • Fast månads- vecko- eller timlön
  • Publicerat: 5 november 2024
  • Ansök senast: 31 januari 2025

Liknande jobb


Software Architect

Software Architect

21 december 2024

21 december 2024

20 december 2024

Software Developer

Software Developer

20 december 2024