Data Science & AI Summer Internship
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Position Overview & Specifications
Location: Cambridge, United Kingdom (possibly remote but must be based in the UK). Full-time
About the organizationAstraZeneca is a global, biopharmaceutical business that focuses on the discovery, development and commercialization of prescription medicines, primarily for the treatment of cardiovascular, metabolic, respiratory, inflammation, autoimmune, oncology, infection and neuroscience diseases AstraZeneca operates in over 100 countries! And its innovative medicines are used by millions of patients worldwide. For more information please visit www.astrazeneca.com.
DescriptionDS&AI is a new department at AZ, and we are embedding data science and Artificial Intelligence (AI) across our R&D to enable our scientists to push the boundaries of science to deliver life-changing medicines!
We are currently seeking candidates who are working towards acquiring a Bachelor, Master, or Doctorate degree in Data Science, Computer Science, Maths, Quantitative Biology, Physics, Pharmacology, or Bioinformatics for an 8-12 week internship contract during the summer of 2023.
A number of positions are available and projects will be allocated depending on specific candidate experiences.
As a Data Science Intern you will...
- Explore, develop and apply data science and artificial intelligence skills within biomedical applications.
- Collaborate with AstraZeneca data scientists in applying machine learning, AI, and data science techniques to help push the boundaries of science to develop life changing medicines for patients worldwide.
- Support AstraZeneca data scientists in developing and implementing solutions crafted to drive the interrogation of datasets for biological insights.
- Master's or PhD students pursuing degrees in Data Science, Computer Science, Math, Bioinformatics, Quantitative Biology, Physics, Pharmacology, or MD/PhD background that meets eligible criteria.
- Experience with good coding practices such as GitHub, unit testing, documentation etc.
- Coding in Python
- Statistical knowledge, data science knowledge, data visualization, machine learning skills such as: regression, classification, clustering, NLP, image analysis, graph theory or similar.
- Bioinformatics experience, including omics data
- Preferable but not required to have some experience working with health data.
- Authorized to work in the UK
Candidate Selection & Onboarding Process
Application & Resume Screening
Submit your tailored CV/Resume directly to the talent acquisition portal.
Technical & Competency Interviews
Virtual interviews with the hiring manager and multidisciplinary team.
Formal Offer & Benefits Negotiation
Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.
Onboarding & Corporate Integration
Equipment provisioning, team orientation, and commencement of duties.
United Kingdom Right to Work & Skilled Worker Visa Guide
Employment in the United Kingdom requires legal Right to Work verified under the Home Office Points-Based Immigration System:
Sponsoring employers must hold an active Home Office A-rated Sponsor License and assign a valid Certificate of Sponsorship (CoS). Role must meet the general minimum salary threshold (£38,700) or occupation going rate.
Continuous employment under Skilled Worker status establishes eligibility for Indefinite Leave to Remain (ILR) after 5 continuous years, leading to British Citizenship.
Candidate Preparation Blueprint: Biotech & Pharmaceuticals
Based on transatlantic hiring benchmarks for Data Science & AI Summer Internship roles across AstraZeneca's corporate sector, successful applicants typically excel across three core dimensions:
Demonstrated portfolio evidence, architecture/system design case studies, or validated professional certifications directly applicable to Biotech & Pharmaceuticals.
STAR method competency responses highlighting cross-functional leadership, conflict resolution, and delivering measurable enterprise ROI under tight timelines.
Total compensation expectation aligned within the benchmarked Salary Disclosed on Application bracket, including retirement vesting and health parity.
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