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Data Science Internship - Drug Discovery and Development

Applications are closed

  • Internship
    Full-time
    Placement Program
  • Data
    Research & Development
  • Cambridge

Requirements

  • Degree (completed or in progress) in Data Science, Bioinformatics, Computational Biology, Pharmacokinetics, or a related field
  • Proficiency in programming languages (e.g., Python or R) and experience in data analysis and visualization
  • Solid understanding of statistical methods and their application in data analysis
  • Experience with data cleaning, transformation, and exploratory data analysis
  • Ability to work collaboratively in a team environment and effectively communicate complex concepts to non-specialist audiences
  • Experience with machine learning models and techniques as applied to pharmacokinetic/dynamic data
  • Understanding of pharmacokinetics and drug metabolism principles to facilitate model interpretation
  • Strong analytical and problem-solving skills to identify and resolve issues in model evaluation

Responsibilities

  • Work with DMPK colleagues to collate and curate appropriate datasets and models relevant to data science tool creation
  • Produce data analysis tools that allow exploration of published or in-house dataset/models
  • Communicate internship/project updates to DMPK colleagues as required

FAQs

What is the duration of the internship?

The internship is set to start on 29th August 2025, and applications are open until 4th March 2025.

What qualifications are required for this internship?

Candidates should have a degree (completed or in progress) in Data Science, Bioinformatics, Computational Biology, Pharmacokinetics, or a related field.

Is programming experience necessary for this role?

Yes, proficiency in programming languages such as Python or R is essential, as well as experience in data analysis and visualization.

Are there opportunities for professional development during the internship?

Yes, the internship provides the opportunity to develop essential skills, expand knowledge, and build a professional network within the pharmaceutical industry.

What kind of tasks will the intern be responsible for?

The intern will work with DMPK colleagues to collate and curate datasets, produce data analysis tools, and communicate project updates.

Is knowledge of pharmacokinetics required for the internship?

While not essential, understanding pharmacokinetics and drug metabolism principles is desirable to facilitate model interpretation.

Will I have support during the internship?

Yes, interns will receive guidance and support from DMPK colleagues and be part of a collaborative team environment.

Can I apply if I do not have experience in machine learning?

Yes, experience with machine learning is desirable but not required; the essential qualifications focus primarily on data science and analysis skills.

How can I request accommodations during the application process?

If you require adjustments or accommodations, you can complete the section in the application form when applying.

What is the company culture like at AstraZeneca?

AstraZeneca promotes a collaborative and inclusive environment where passionate professionals work together to make a difference in patients' lives.

What science can do

Science & Healthcare
Industry
10,001+
Employees

Mission & Purpose

We're transforming the future of healthcare by unlocking the power of what science can do for people, society and the planet. AstraZeneca is a global pharmaceutical company dedicated to improving the health and well-being of people worldwide. With a focus on innovative research and development, AstraZeneca develops and manufactures a wide range of prescription medicines, including treatments for cardiovascular, respiratory, oncology, and other therapeutic areas. Their aim is to transform the lives of patients by discovering, developing, and delivering innovative medicines that address unmet medical needs. AstraZeneca's purpose is to push the boundaries of science and collaborate with healthcare professionals, organisations, and communities to improve patient outcomes and contribute to the advancement of healthcare globally.

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