R&D Data Sciences & AI Graduate Programme - UK

R&D Data Sciences & AI Graduate Programme – UK

Location: Cambridge

Salary: £37,800

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.

About the opportunity

The AstraZeneca R&D Data Sciences & AI Graduate Programme is a two-year opportunity for graduates eager to build a career at the intersection of data science, AI, and drug discovery. Through three eight-month placements, you'll gain hands-on experience applying data science and AI techniques across various R&D functions and therapy areas. You’ll develop technical skills in data analysis, machine learning, and AI, while expanding your scientific knowledge and receiving mentorship from industry experts. This is your chance to shape the future of drug development with cutting-edge technologies. 

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

• 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

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 authorisation and employment eligibility verification requirements.