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We are establishing a new state-of-the-art research facility in London. With a mission of turning breakthrough science into meaningful and impactful medicines, the research focus is in cellular ageing and mechanisms of homeostasis and resilience, the basis of some of the most challenging diseases facing our ageing population.
Who we are
At our organisation, we are unified around our purpose: We use the power of leading-edge science to save and improve lives around the world. For more than a century, we’ve been at the forefront of research, bringing forward medicines, vaccines and innovative health solutions for the world’s most challenging diseases.
We are officially certified by the Top Employer Institute and been awarded the exclusive Top Employer United Kingdom Certification for the fourth year running.
Job Description
We are a research-driven biopharmaceutical company. Our mission is built on the simple premise that if we follow the science, we can deliver great medicines. We believe that a research-driven enterprise, dedicated to world-class science, can succeed by inventing medicine and vaccine innovations that make a difference for patients across the globe.
The qualified individual will have strong interest in the field of computational biology, bioinformatics. They will be responsible for helping us develop target discovery pipeline by applying systems biology methods on omics data. The person in this role will be expected to operate in a collaborative matrix environment, working with experimental and computational scientists at London Discovery Centre and Francis Crick Institute. You will be a part of a diverse and global team tightly integrated within highly collaborative multidisciplinary scientific environment at our London site, interacting with leading academic groups and research centres across the UK/EU. Due to our diverse work, projects and responsibilities can be tailored to the applicant’s strengths and interests.
Duties
Focus on Results
- Use bioinformatics tools to analyse transcriptomics data (bulk and scRNA-seq)
- Implement multi-omics systems biology methods and test their performance
Communication and Collaboration
- Ask questions, having a placement is about learning
- Present results and ideas in writing, and in meetings as verbal updates and presentations
Maintaining our organisation’s high standards of ethics and safety:
- Comply with our organisation’s safety rules and philosophy
Technical Specifications
- You will be looking to complete a 12-month student internship in your third or penultimate year of study of your undergraduate degree, returning to your course at the end of the internship
- Strong interest in computational biology (bioinformatics)
- Experience in coding (R, python, other) is desirable but not essential
- Passion for scientific discovery
Qualities we look for
- Communicates, participates and collaborates as one team; winning and losing together
- Focuses on what matters the most to create the greatest value for human and animal patients
- Acts with urgency, rigor and determination to enable us to continue to deliver our medicines and vaccines around the world
- Intellectually curious, adapts and has a commitment to never give up, whether we succeed or fail
- Aligns with and fosters a culture of diversity and inclusion; being part of an inclusive environment where everyone is able to contribute their best ideas
- Encourages curiosity, voices their opinions and engages in healthy debate to improve ideas and decisions to achieve better outcomes
