Internship Position in Epidemiology (Master students only)

Within the Department of Precision Health, Dr. Sophie Pilleron , PhD, Head of the Ageing, Cancer, and Disparities (ACADI) team and Dr. Berta Portugal, PhD, postdoctoral researcher in the Physical activity, Sport and Health research Unit (PASH), are seeking a Master’s student for a project that aims to investigate whether device-measured movement behaviours reduce the risk of cancer in older adults. 

The student will use data from the UK Biobank, a prospective population-based cohort study. Approximately, 100 000 participants used Axivity AX3 accelerometers on their dominant wrist for 7 consecutive days between 2013 and 2015. The raw accelerometer data has been processed using the GGIR R-package to classify movement behaviours. Cancer diagnosis has been ascertained through a linkage with national cancer registries. 

The student will be responsible for the literature review, data management and quantitative data analysis. The internship is planned for a 6-month period.

Main Activities

• Conduct a literature review
• Perform data management 
• Draw a directed acyclic graph using published literature
• Analyse data using a causal inference approach
• Discuss results within the group & other researchers
• Participate in project meetings & give presentations at the departmental meeting
• Draft of a scientific paper

Required Profile

• Master level in epidemiology, statistical or comparable
• Internship must be a mandatory part of the master degree
• Experience in working with large datasets would be ideal
• Good statistical knowledge and, ideally, hands-on experience with statistical programs (R or STATA)
• Good proficiency in English (written & oral)
• Good organizational skills
• High motivation and discipline to work in a multi-disciplinary team

What we offer

• Students have the opportunity to work in an interdisciplinary & international scientific environment, benefiting from exchanges with other students and scientists across the department
• An environment that supports advanced training across several health-related domains, enhancing effective communication and presentation skills, scientific writing, coding abilities in R or Stata, quantitative analysis, and causal inference methods.

GENDER EQUALITY

The LIH is an equal opportunities employer.

We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.

The LIH is attentive to gender representation among its leadership staff and aims to eliminate obstacles to the recruitment and promotion of female leaders and their career development.