|Published||March 24, 2023|
|Location||Cambridge, United Kingdom|
The MRC Epidemiology Unit is seeking to appoint a Data Scientist with expertise in scientific programming and time-series data processing.
This position is based in the Unit's Physical Activity Epidemiology Programme. The primary role of this post is to support research in the area of physical activity, sedentary behaviour and sleep, by applying different data processing methods to measurements in large population studies. Examples include data collected from wearable sensors such as raw triaxial acceleration at 100-Hz resolution over a week in 1000s of participants.
Alongside a competitive salary, University staff are eligible for a comprehensive package of benefits and services include discounts on shopping, health care, financial services and public transport. We also offer defined benefits pension schemes and tax-efficient bicycle and charity-giving schemes.
The MRC Epidemiology Unit is a department within the University of Cambridge's School of Clinical Medicine and is situated within the Institute of Metabolic Science on the Cambridge Biomedical Campus. Its mission is to study the genetic, developmental and environmental factors that cause obesity, diabetes and related metabolic disorders and develop strategies for their prevention. The Unit benefits from a number of large-scale, cross programme epidemiological studies with detailed datasets allowing a wide range of research from genetics to public health. Highly experienced information teams and other specialist teams support the scientists in the delivery of their research aims.
The successful candidate will have a master or PhD in math, physics, computer science, or other quantitative disciplines. Applicants will have expertise in Python programming and high-performance computing suitable for processing large time-series data from large studies. Experience developing, sharing, and utilising code and working collaboratively using code repositories is desireable.
This is an exciting opportunity to contribute to the data science underpinning international epidemiological research that will help address important public health issues.
Please contact Soren Brage (firstname.lastname@example.org) for informal enquiries.
Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.
Please ensure that you upload a covering letter and a CV in the Upload section of the online application. The covering letter should outline how you match the criteria for the post and why you are applying for this role. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.
Please include details of your referees, including email address and phone number, one of which must be your most recent line manager.
The closing date for applications is: 6th April 2023
The interview date for the role is: To be confirmed
Please quote reference SJ36032 on your application and in any correspondence about this vacancy.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.