GELM (Gene editing language model)A foundational model for gene editing internship
About AstraZeneca
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 empowered to take on new challenges, but with all the help and guidance you need to succeed. At AstraZeneca, you will engage in meaningful work within a pioneering research and development organization. This placement will help you develop essential skills, expand your knowledge, and build a network that will set you up for future success. You will be surrounded by curious, passionate, and open-minded professionals eager to learn and follow the science, fostering your growth in a truly collaborative and global team.
Introduction to the Role
Join the Centre for AI (CAI) at AstraZeneca, working at the forefront of protein language model development for genome editing. This role is part of a proof-of-concept project aiming to revolutionize gene editing by designing novel CRISPR-Cas systems, optimized for therapeutic applications. You will work under the supervision of industry experts and have the opportunity to contribute to transformative advancements in AI applications to biology.
Accountabilities
Aggregate and curate datasets of CRISPR-Cas operons and associated metadata.
Fine-tune pretrained protein language models using the curated datasets.
Generate and filter novel CRISPR-Cas sequences, ensuring functionality and compatibility.
Collaborate with the team members to analyze data and generate insightful results.
Assist in drafting reports and manuscripts summarizing the research findings.
Essential Skills/Experience
Currently pursuing a MSc or PhD degree in bioinformatics, computational biology, computer science, or a related field.
Basic understanding of the protein language models.
Basic understanding of the CRISPR-Cas systems.
Proficient in programming with Python.
Experience with data preparation and analysis.
Strong analytical skills and attention to detail.
Ability to work collaboratively in a team environment and communicate scientific ideas effectively.
AstraZeneca is where you can immerse yourself in ground-breaking work with real patient impact. Trusted to work on important projects, you’ll have the independence to take on new challenges while receiving all the guidance you need to succeed. Our collaborative environment is designed to help you grow professionally and personally, surrounded by passionate individuals eager to make a difference.
Additional Information
Applications are now open until 5th March 2025. The target start date is 16/06/2025 - 12/09/2025 and you can expect to hear from us by the end of March 2025.
Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca, 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.
Ready to make an impact? Apply now and join us on this exciting journey!
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.
