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Machine Learning Research Scientist

2 months ago

London, Greater London, United Kingdom Industry Placements Full time
Unlocking Breakthroughs in Cellular Ageing

We are establishing a cutting-edge research facility in London, dedicated to transforming scientific discoveries into impactful medicines. Our focus is on cellular ageing and mechanisms of homeostasis and resilience, addressing some of the most pressing diseases affecting our ageing population.

Job Overview:

This role will be based in London, with a hybrid working arrangement. You will have experience in a numerical discipline and a passion for applying your expertise in biological research. We are developing innovative tools around knowledge graphs and Machine Learning approaches for target discovery. You will be responsible for enhancing our target discovery pipeline by integrating existing systems biology and data science approaches to analyze biological networks for novel insights.

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

  • Utilize 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
  • Employ 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 by increasing access to healthcare 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.