Medical Statistician

Location / Campus: Royal Brompton Campus, NHLI - On site only

Genomic & Environmental Medicine

Job Summary

We are seeking to appoint a Medical Statistician to join the Genomic & Environmental Medicine Section of the NHLI.

The post-holder will develop statistical simulations, scripts and packages to carry out specific aspects of study design and evaluation with a focus on modern statistical modelling methods for complex data, including leverage of observational data for clinical trial design.

The group has a long track record of diverse, impactful research across a range of study designs (including multicentre, international surveys that involve collaborations with low and middle income countries). This role is intended to be programming and methodology intensive.   

Duties and responsibilities

• You will interact daily with a team of researchers and students involved in a variety of epidemiological and clinical investigation.
• The projects offer wide scope for methods and statistical approaches.
• Your duties will include planning and performing supervised research including extensive statistical programming and analysis for contribution to grant applications and publications.

Essential requirements

• You should hold a first/MSc degree in statistics, biostatistics or epidemiology along with evidence of experience in applied data analysis.
• You should have formal training in biostatistics or epidemiology.
• You should be able to work independently and as part of a team.
• You should have prior experience working with complex data in applied health and have curiosity and enthusiasm for learning and applying new statistical methods.
• You must have excellent verbal and written communication skills and a strong knowledge of data analysis and programming processes, and R.

Further Information

This is a full-time, fixed-term on-site position available for 24 months, with potential for extension. You will be based at Brompton Campus.

Informal enquiries are encouraged to discuss detail of potential direction of research. Please contact Professor Maia Lesosky at m.lesosky@imperial.ac.uk.

Closing date: 26/04/2024

Apply online via the above ‘Apply’ button.

Advert information