We are seeking
to appoint a Data Scientist to be a part of a dynamic team creating tools that enable researchers to rapidly capture, process and analyse clinical data during and between disease outbreaks. You will design, build and improve tools and methodologies for data collection and processing in collaboration with members of the ISARIC (International Severe Acute Respiratory and emerging Infection Consortium) team and international partners. The International Severe Acute Respiratory and emerging Infection Consortium (ISARIC) was created in 2011 to change the paradigm of outbreak response by integrating patient-centred research as a core component of public health response. It is grassroots, investigator-led federation of independent, hospital based clinical research networks with operations in 130 countries. ISARIC undertakes research to characterise and find new treatments for emerging infections. By improving research methods, strengthening capacity internationally, and focusing on collaboration, ISARIC enhances the collective ability to generate evidence that improves patient outcomes and reduces the impact of infectious diseases on global health. Leading the analysis of clinical and epidemiological data to generate new evidence is a key part of the role. You will be a part of an international team who improve the quality of data and evidence by defining better research methods, developing standard data models, and designing machine-readable data. The post will suit someone with advanced data management, software engineering and analytical skills, who has excellent interpersonal skills. You will lead the analysis of clinical and epidemiological data to generate new evidence is a key part of the role. You will be a part of an international team who improve the quality of data and evidence by defining better research methods, developing standard data models, and designing machine-readable data. It is essential that you hold a Masters level degree in statistics, computing or another numerate/related subject. You must have significant experience in data analysis and proficiency in writing Python code for data import and manipulation.