Data Science Internship
Data Science Internship
Cambridge
AstraZeneca is a global, science-led biopharmaceutical business and its innovative medicines are used by millions of patients worldwide. AstraZeneca Summer Internships introduce you to the world of ground-breaking drug development, embedding you in highly dedicatedteams,committed to delivering life-changing medicines to patients. Our 10–12-week program is designed for undergraduate, master's, and doctoral students. We offer exciting opportunities across Research & Development, Operations, and Enabling Units (Corporate functions). Our internships 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. This internship 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) and Data Science & Modelling unit, where wearecommitted to accelerating biomedical research through the innovative application of machine learning. In this role youwillworkon topics around multi-task learning for developabilitypropertyprediction for antibodies. In particular youwillworkon our in-silico developabilitypropertyprediction framework that supports projects across oncology and biopharma for antibody design. The internship offers a unique chance to conduct high-impact research at the intersection of AI and drug discovery, focusing on projects that are pivotal to our research and development portfolio.
Accountabilities
As an intern, youwillbe engaged with several key responsibilities, including:
Develop a multi-task deep learning framework for antibody developability properties, including defining the ML modeling strategy and designing optimization approaches for a heterogeneous set of properties.
ImplementMLOpsbestpractices from the outset of the project.
Perform in silico predictions to assess antibody properties and validateresults against experimental measurements.
Collaborate with experienced scientists to benchmark the multi-task learning framework against existing developability predictors.
Analyze heterogeneous datasets (public and internal) related to developability, and carefully clean and standardize them.
Essential Skills/Experience
The ideal candidate will possess the following skills and experience:
Essential:
PhD candidate in bioinformatics, computational biology, computer science, or a related field.
Knowledge of deep learning optimization techniques, especially multi-task learning.
Hands-on experience with machine learning frameworks and in silicomodeling methods.
Strong programming skills in Python.
Excellent analytical and problem-solving abilities, with ademonstrated interest in antibody design and development.
Provenability to collaborate in cross-functional teams and communicate scientific concepts effectively.
Desirable:
Experience with language models for biological sequences.
Previous experience working on developability data or therapeutic antibody design.
This internship is a valuable opportunity to immerseyourselfin the forefront of therapeutic antibody discovery, with access to the necessary computational resources and mentorship from leading experts in 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. We welcome 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
23-Jan-2026Closing Date
06-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.
Rejoignez notre réseau de talents
Inscrivez-vous pour recevoir des alertes emplois AstraZeneca.
S'inscrire
