Applications for this job are now closed
You 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 and US.
Due to our diverse work, student projects and responsibilities can be tailored to the applicant’s strengths and interests.
Duties
- Use machine learning toolkits to augment target discovery efforts
- Use computer vision and deep learning methods to integrate imaging and genomics data in order to link them to disease phenotypes
- Work with knowledge graphs to improve discovery of novel disease mechanisms
- Advance the use of natural language processing NLP tools to improve understanding of diseases and therapeutic targets
- Use computational biology bioinformatics and network biology to answer biological questions
Requirements
- You will be looking to complete a 12month student internship as part of your undergraduate degree
- Strong interest in one or more applying data science computational biology or machine learning to solving biological questions
- Demonstrable experience in applying statistical methods to analyse data and interpreting results
- Experience in coding python R other
- Knowledge of biology is not essential
- Passion for scientific discovery
How to apply
Please complete the online application form, uploading your CV and a cover letter answering these questions (please upload your CV and cover letter as one document):
What has motivated you to apply to our company and why this role Up to 400 words
Our standard early talent recruitment process is an online application, an online assessment and then a final assessment. Provisional final assessment dates will be held from November 2023. Please note the role may close before this deadline if over subscribed so please apply as soon as possible.
Next steps
In the event of your successful progression to the next stage, one of our early talent team will contact you within two - three weeks of the application closing date.
Equal opportunity employer
We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment.
We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace.
Company overview
We are a global biopharmaceutical leader committed to enhancing the lives of individuals through a diverse portfolio of prescription medicines, oncology treatments, life-saving vaccines, and animal health products.
Our unwavering dedication to delivering innovative solutions is the driving force behind everything we do. With a team of over 70,000 employees spread across 140+ countries, we offer state-of-the-art laboratories and inspiring offices designed to foster growth and development in our team members.
With 125+ years of service and a record of being one of the world's foremost investors in research and development, we take pride in our legacy of cultivating breakthrough advances that shape the future of healthcare
