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Machine Learning Research Scientist

2 months ago

London, Greater London, United Kingdom Industry Placements Full time
Machine Learning Research Scientist Placement

We are establishing a state-of-the-art research facility in London to drive breakthrough science into meaningful and impactful medicines. Our research focus is on cellular ageing and mechanisms of homeostasis and resilience, addressing some of the most challenging diseases affecting our ageing population.

Job Overview:

This role will be based in London on a hybrid working arrangement, allowing for a balance between in-office collaboration and remote work. You will have experience in a numerical discipline and an interest in applying your expertise in the field of biological research. We are developing cutting-edge tools around the use of knowledge graphs and Machine Learning approaches for target discovery.

You will be part of a diverse and global team, tightly integrated within a highly collaborative multidisciplinary scientific environment at our London site. You will interact with leading academic groups and research centres across the UK/EU, working on projects and responsibilities tailored to your strengths and interests.

  • Use machine learning toolkits to augment target discovery efforts
  • Apply computer vision and deep learning methods to integrate imaging and genomics data, linking 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 enhance understanding of diseases and therapeutic targets
  • Utilize computational biology, bioinformatics, and network biology to answer biological questions
Requirements:
  • You will be looking to complete a 12-month student internship as part of your undergraduate degree.
  • Strong interest in applying data science, computational biology, or machine learning to solve biological questions
  • Demonstrable experience in applying statistical methods to analyze data and interpret results
  • Experience in coding (Python, R, other)
  • Knowledge of biology is not essential
  • Passion for scientific discovery
Equal Opportunity Employer:

We are proud to be a company that values diversity, talent, and commitment. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace.

We have been inventing for life for 130 years, bringing forward medicines and vaccines for many of the world's most challenging diseases. We demonstrate our commitment to patients and population health through far-reaching policies, programs, and partnerships. Today, we continue to be at the forefront of research to prevent and treat diseases that threaten people and animals, including cancer, infectious diseases, and emerging animal diseases.