HEOR Data Analytics Intern

Are you ready to do meaningful work in a cutting-edge, research-driven organization? At Alexion (an AstraZeneca company for Rare Diseases), our summer internship program offers you the opportunity to develop the skills, knowledge, and connections that will set you up for future success. This program will begin on June 2nd and potentially run through August 8th, 2025.

As an intern, you’ll be part of a dynamic, global team of curious, passionate, and open-minded individuals who are eager to learn, innovate, and grow. You’ll collaborate with industry-leading professionals, contribute to impactful projects, and gain hands-on experience in a supportive and forward-thinking environment.

If you’re enthusiastic about science, innovation, and making a difference, our internship program is your chance to follow your passion and kickstart your career!

This is what you will do:

HEOR Data Analytics summer intern will build and test analysis pipelines in R and Python to process patient real-world data for generating insights on disease progression, burden of disease, and outcomes.

You will be responsible for:

• The Summer intern will be working closely with the Sr. Manager of HEOR analytics implementing data ingestion and processing workflows for various datasets showcasing impact to value and evidence generation projects.
• Assess and qualify various data assets at Alexion and Astrazeneca with respect to the indications of interest to Alexion GMA and Commercial teams.
• Catalog the data sets and implement metadata management solutions to support future data set integrations and cataloging.
• Help the HEOR analytics team organize and manage their data assets, develop custom or implement open-source applications such as GITlab, Jupyter notebooks to support modeling and analytical projects.
• Explore and implement visual analytics layers on key data sets in our analytics and data platforms.

You will need to have:

• Candidates applying to the summer internship role should have completed at least 1 year of (graduate or equivalent undergraduate) coursework in Data Science, Computer science or Statistics or a similar quantitative focused discipline. Will consider both undergraduate or graduate level candidates provided they bring the level of skills in programming and data science.
• Be fluent (Should be able to independently develop code) in one or more programming languages preferably Python and R for querying/processing large data sets, run statistical analysis and report the results.
• Experience with Rshiny and or BI applications and web development will be a plus.
• Experience working in cloud environments, use of various cloud compute services such as elastic compute, big data stores (Redshift, Snowflake, S3), working with notebooks and Gitlab.
• Some background/coursework or understanding of healthcare data, pharma drug development will be valuable for this role.