R&D Data Sciences & AI Graduate Programme - UK
UK - Cambridge
Full Time Entry-level / Junior GBP 37K+
AstraZeneca
AstraZeneca is a global, science-led biopharmaceutical business and our innovative medicines are used by millions of patients worldwide.R&D Data Sciences & AI Graduate Programme – UK
Location: Cambridge
Salary: £37,800
Overview
Fuel your curiosity, feel valued, and follow the science. If you hold a quantitative science-focused Bachelor's or Master's degree and wish to develop your skills in data science and artificial intelligence, our R&D Data Science & AI Graduate Programme could be your career springboard. Gain invaluable insights, exposure, and opportunities across our diverse R&D organization, accelerating your learning and helping you achieve your potential.
About AstraZeneca
AstraZeneca is a global, science-led, patient-focused biopharmaceutical company dedicated to the discovery, development, and commercialization of prescription medicines for some of the world’s most serious diseases. We prioritize patients and use data and an agile mindset to uncover solutions that enhance our ability to deliver science to the market.
Programme Details
Start Date: September 2025
Duration: 2 years
Structure: Three individual eight-month placements
Focus Areas: Machine learning, AI, and data science in drug discovery and development
What You’ll Gain
Hands-On Experience: Work alongside scientists to apply data science, AI, and machine learning techniques to advance drug discovery and development.
Professional Growth: Develop both industry-specific and technical knowledge, supported by a mentor and a dedicated programme management team.
Networking: Build collaborative relationships with specialists and leaders within AstraZeneca and leading academic and biotech research institutions.
Placement Opportunities
Target Identification: Identify new targets for novel medicines.
Drug Design and Development: Optimize the design, development, and manufacturing of new drugs.
Clinical Trials and Digital Health: Redefine clinical trials and digital health to improve patient experience and outcomes.
Essential Requirements
Education: Bachelor’s or Master’s degree in a quantitative science (e.g., Maths, Physics, Statistics, Computer Science) awarded in 2024 or due by September 2025.
Experience: Hands-on experience in Data Science, AI, Machine Learning, Statistics, Computational Biology, Computational Chemistry, Bioinformatics, or Cheminformatics.
Technical Skills: Deep understanding of key machine learning or statistical models. Proficiency in Python or multiple data-centric programming languages for Big Data analysis.
Attributes: Innovative thinking, enthusiasm, energy, drive, strong critical thinking, planning, organizational and time management skills, and ability to work collaboratively.
Application Process
Location: You will be based in Cambridge throughout the 2-year duration. No international placements are offered.
Assessment: After submitting your application, you will complete an online assessment (SHL). Shortlisted candidates will be invited to a full-day virtual assessment day.
Key Dates
Advert Opens: Monday 9 December 2024
Advert Closes: Sunday 5 January 2025
Assessment Centre Days: Tuesday 4, Wednesday 5 & Thursday 6 March 2025
How to Apply
Are you ready to bring your skills, drive, and curiosity to our projects? We’d love to hear from you! Click the link to apply, and we will be in touch once the advert closes.
Find Out More
Careers Page: Learn more on our careers page
LinkedIn: AstraZeneca LinkedIn
Facebook: AstraZeneca Careers
Instagram: AstraZeneca Careers
Date Posted
09-Dec-2024Closing Date
05-Jan-2025Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form.Tags: Agile Big Data Bioinformatics Biology Chemistry Computer Science Data analysis Drug discovery Machine Learning Physics Python R R&D Research Statistics
Perks/benefits: Career development
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