Pathogen Genomics & Epidemiology Research Associate

Imperial Enterprise; City Of London; On-site; GBP 45,000 - 55,000; Full time

Benefits offered by this job

10 development days for skill growth

Sector-leading salary and benefits

43 days off a year and generous final-

Job summary

Imperial College London is inviting applications for a Research Associate to develop novel methods for pathogen genomic epidemiology in the Department of Infectious Disease Epidemiology. The post is funded by a Wellcome Early-Career Award and based in a new group focusing on scalable mathematical and statistical approaches to large pathogen genome datasets.

The role combines data analysis, epidemiology, modelling and inference, with opportunities to engage in interdisciplinary collaboration and

Qualifications

• PhD or equivalent research/industrial experience in a quantitative field.
• Experience developing mathematical/statistical approaches for biological questions.
• Experience conducting quantitative analyses of complex biological data.

Responsibilities

• Develop and apply statistical and computational methods to pathogen genomic data.
• Perform computational simulations and data analyses to characterise transmission.
• Publish high-quality scientific outputs and contribute to software tools when appropriate.

Skills

Mathematical modelling

Statistical analysis

R and Python programming

Education

PhD or equivalent in infectious disease epidemiology, computational biology, biostatistics, or related quantitative discipline

Tools

R

Python

Job description

Imperial College London is inviting applications for a Research Associate to develop novel methods for pathogen genomic epidemiology in the Department of Infectious Disease Epidemiology. The post is funded by a Wellcome Early-Career Award and based in a new group focusing on scalable mathematical and statistical approaches to large pathogen genome datasets.

The role combines data analysis, epidemiology, modelling and inference, with opportunities to engage in interdisciplinary collaboration and