AI Scientist
AstraZeneca
full-time
Posted on:
Location Type: Office
Location: Beijing • 🇨🇳 China
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
Python
About the role
- Apply and adapt large-scale foundation models (such as transformer-based architectures and pretrained multi-modal models) for biomedical research.
- Design, finetune, and validate machine learning algorithms—including foundation models—tailored to biological, multi-omics, and clinical datasets relevant to drug development.
- Create and implement novel computational algorithms to address challenges in disease biology, biomarker identification, patient stratification, and therapeutic response prediction.
- Collaborate closely with bioinformatics experts and therapeutic area scientists to harmonize and integrate diverse multi-modal datasets—including genomics, proteomics, clinical, and imaging data.
- Present and explain analytic findings and model outputs to cross-functional teams, translating complex results into actionable recommendations.
- Act as an AI advocate across multidisciplinary teams; promote understanding, adoption, and best practices for AI and machine learning methods in drug research.
Requirements
- PhD or MSc in Data Science, Computer Science, Biomedical Engineering, Bioinformatics, Applied Mathematics, or related field.
- Hands-on experience developing, adapting, and finetuning foundation models (such as transformer architectures, large language models, and pretrained multi-modal models) for biomedical or healthcare applications.
- Proficiency in model building, machine learning (including deep learning), algorithm development, and large-scale data processing in Python, R, or equivalent languages.
- Minimum of 5 years of hands-on experience in data science, bioinformatics, or a related field, with a strong track record of delivering impactful results in a pharmaceutical or healthcare context.
- Experience of addressing data compliance & localisation challenges with China data compliance right (e.g., CBDT, CSL) in the data platform related project is a strong plus.
- Agile experience is a plus.
Benefits
- AstraZeneca embraces diversity and equality of opportunity.
- We are committed to building an inclusive and diverse team representing all backgrounds.
- Harnessing industry-leading skills.
- We believe that the more inclusive we are, the better our work will be.
- A Great Place to Work.
- Lifelong learning, growth and development for all.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
foundation modelstransformer architecturespretrained multi-modal modelsmachine learningdeep learningalgorithm developmentlarge-scale data processingPythonRbioinformatics
Soft skills
collaborationcommunicationpresentationcross-functional teamworkAI advocacytranslating complex resultspromoting best practices
Certifications
PhDMSc