Research Internship on multi-fidelity learning from affinity data
Research Internship on multi-fidelity learning from affinity data
Cambridge
AstraZeneca is a global, science-led biopharmaceutical business and its innovative medicines are used by millions of patients worldwide. AstraZeneca has long been an advocate of student work placement training. These placements immerse students in the pharmaceutical industry, allowing the opportunity to contribute to our diverse pipeline of medicines whether in the lab or outside of it. You will feel trusted and empoweredtotakeonnewchallenges, but with all the help and guidanceyouneedtosucceed. At AstraZeneca, you will engage in meaningful work within apioneeringresearchanddevelopment organization. This placement will help you developessential skills, expand your knowledge, and build a network that will set you up for future success. Youwillbe surrounded by curious,passionate, and open-minded professionals eager to learn and follow the science, fostering your growth in a truly collaborative and globalteam.
Introduction to role
Join us at the Center for Artificial Intelligence (CAI), where wearecommitted to accelerating biomedical research through the innovative application of machine learning. In this role you will collaborate on a project leveraging deep learning for antibody design. You will explore multi-fidelity models to leverage data from various sources for predicting antibody-antigen binding. You will work alongside leadingexpertsinmachinelearningand antibody design, gaining hands-on experience in asupportive and dynamic setting. The internship offers aunique chance to conduct high-impact research at the intersection of AI and drug discovery, focusing on projects that are pivotal to our researchanddevelopment portfolio.
Accountabilities
As an intern, youwillbe engaged with several key responsibilities, including:
- Building a multi-fidelity model for experimental antibody affinity data.
- Extending the model to accommodate in silico data and evaluate the gains on prediction.
- Adhering to software engineering bestpractices to deliver reusable code.
- Analyzing publicly available affinity maturation datasets to validate the proposed methodologies.
- Collaborating with experienced scientists on antibodyleadoptimization projects with potential applications in real-world therapeuticantibodydesign.
Essential Skills/Experience
The ideal candidate will possess the following skills and experience:
Essential:
- Currently pursuing a PhDdegree in bioinformatics, computational biology, computer science, or a related field.
- Experience with machinelearningand deep learning techniques.
- Excellent programming skills (python) and familiarity with deep learning frameworks (e.g. pytorch)
- Strong analytical and problem-solving abilities, with a keen interestin antibody design and development.
- Ability to work collaboratively in a teamenvironment and communicate scientific ideas effectively.
- Must be at least 18 years of age at time of application.
- Must have UK right-to-work status.
- Must return to schooling at program close (candidates graduating before/during the programmes are ineligible)
Desirable:
- Experience with multi-fidelity or multi-task modeling.
- Familiarity with protein language models, structure prediction, and other in silico tools for antibodyleadoptimization
- Previous experience working on affinity maturation or therapeuticantibodydesign.
This internship is a valuable opportunity to immerseyourselfin the forefront of therapeutic antibody discovery, with access to the necessary computational resources and mentorship from leadingexpertsin the field. If you are ready to transform your technical knowledge into real-world applications, we encourage you to apply and become a part of ourteam driving innovation at AstraZeneca. Ourcollaborativeenvironmentisdesignedtohelpyougrowprofessionallyandpersonally,surroundedbypassionateindividualseagertomakeadifference.
AstraZeneca is where you can immerseyourselfingroundbreaking work with real patient impact.
Trusted to work on important projects, you’ll have the independence totakeonnewchallenges while receiving all the guidanceyouneedtosucceed.Ourcollaborativeenvironmentisdesignedtohelpyougrowprofessionallyandpersonally,surroundedbypassionateindividualseagertomakeadifference.
Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca, starting with the recruitment process. Wewelcome and consider applications from all qualified candidates, regardless of characteristics.
We offer reasonableadjustments/accommodations to help all candidates to perform at their best. If you have a need for any reasonableadjustments/accommodations, please complete the section in the application form.
Ready to make an impact? Apply now and join us on this excitingjourney!
#Earlytalent
Date Posted
30-Jan-2026Closing Date
13-Feb-2026Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form.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 authorisation and employment eligibility verification requirements.
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