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Evaluation and Benchmarking for Biomedical Multi-Modal Reasoning Internship

Location Cambridge, England, United Kingdom Job ID R-219815 Date posted 13/02/2025

About AstraZeneca

AstraZeneca is a global, science-led biopharmaceutical company, developing innovative medicines that benefit millions of patients worldwide! Our internship programs provide hands-on experience in cutting-edge research, allowing students to contribute meaningfully while developing their skills in a collaborative environment.

Introduction to the Role

This internship focuses on developing principled evaluation methods and benchmarks for biomedical multi-modal reasoning, a key challenge in AI-driven healthcare and drug discovery. Current Visual Question Answering (VQA) benchmarks for biomedical applications rely on exact match scoring or LLM-based evaluation, both of which have limitations.

This project aims to establish a more robust evaluation framework tailored to biomedical VQA tasks, ensuring reliable and interpretable AI model assessment. The research will also explore the creation of a biomedical multi-modal benchmark and investigate an internal genomic benchmark, aligning with AstraZeneca’s strategic research priorities.

Accountabilities

As a Summer Intern, you will:

  • Contribute to the development of principled evaluation methods for biomedical VQA tasks.

  • Assist in building and validating a biomedical multi-modal benchmark.

  • Analyze model performance and identify limitations of existing evaluation approaches.

  • Work with AI researchers, data scientists, and domain experts to refine evaluation methodologies.

  • Summarize findings in technical reports and potentially contribute to a research publication.

Essential Skills/Experience

  • Currently pursuing a degree in Computer Science, AI, Bioinformatics, Biomedical Informatics, or a related field.

  • Strong programming skills in Python and experience with machine learning frameworks (e.g., PyTorch, TensorFlow).

  • Familiarity with VLMs, LLMs, multi-modal learning, and model evaluation techniques.

  • Interest in biomedical AI applications and dataset curation for benchmarking.

  • Strong analytical thinking, problem-solving skills, and ability to work in a research-driven environment.

Additional Information

Applications will be open until 28/02/2025. Start date 09/06/2025 - 29/08/2025 and you can expect to hear back from us by the end of March 2025.

At AstraZeneca, we value diversity and inclusion. We welcome applications from all backgrounds and provide accommodations to ensure an equitable recruitment process.

Ready to make an impact? Apply now!

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

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 authorization and employment eligibility verification requirements.

10000036 A UNUN R&D BioPharmaceuticals

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Glassdoor logo Rated four stars on Glassdoor

Great culture, great work assignments, supportive management. Rotation opportunity within the company. They value inclusion and diversity.