Epidémiologiste; H​/F

Position: Epidémiologiste (H/F)
Epiconcept is recruiting an epidemiologist W/M

(French version below)

About Epiconcept:

Epiconcept is a small-medium enterprise of approximately 110 people with a wide expertise in epidemiology and in the development of information and communication tools for public health.

Employees are based in France, Spain, Portugal and the United Kingdom.

Epiconcept is a:

• Certified research organisation ;
• Certified data centre for hosting personal and medical data ;
• Certified training company.

Our current partners are institutions and organisations in charge of Public Health programmes: WHO, ECDC, European Commission, Ministries of Health, NGOs, Foundations, etc.

The Epidemiology Department is a diverse and dynamic multi-disciplinary international team of approximately 20 individuals working mostly in infectious diseases with specialism in vaccination and vaccine policies, the development of guidance at national and international levels, and development and delivery of training courses. The epidemiology team has a wide expertise in different study methodologies (e.g. systematic literature reviews, case-control and cohort studies as well as cross- sectional surveys) and different applications to field epidemiology (e.g. vaccine effectiveness studies, outbreak investigation and pandemic response).

More information available at: epiconcept.fr/carriere

Post overview:

The successful candidate will provide high quality epidemiological research and data management support in all aspects of establishing, conducting, analysing and reporting on studies and projects.

The successful candidate will collaborate with senior epidemiologists who coordinate a variety of projects being led by the Epidemiology Department at Epiconcept.

The successful candidate will work on European multi-country projects (funded by international and European organisations).

The post-holder will:

• draft of documents (e.g. protocols, statistical analysis plans etc) to support the on-going implementation of studies and projects ;
• help manage, analyse and interpret epidemiological data, ensuring data are appropriately managed and analysed in a reliable and timely way ;
• develop and maintain R scripts for data management, data checking, data analysis, data visualisation and automatisation of the project data and output in compliance with good data management rules ;
• conduct analyses, prepare results and contribute, including as lead author, to peer-reviewed publications and other outputs (e.g. reports, conference abstracts) for wider dissemination ;
• use evidence generated from project results and other research to identify current and future public health priorities and needs ;
• establish a strong working relation with the senior epidemiologist to jointly ensure timely deliverables and to ensure that projects are managed in an effective way ;
• support project management and maintain good scientific collaboration with key partners through regular interactions with participating and client representatives ;
• prepare training material and provide training, as and when needed, including training of epidemiological concepts, analysis and software (R) ;
• handle any other activities commensurate with the post.

There is also the possibility to participate in projects in other disease areas or activities such as training, applied research projects locally and overseas and related project management.

Pay will be commensurate with skills and experience. The contract duration for the post is a long-term contract.

The postholder will be expected to work from their own premises or from Epiconcept offices based in Paris.

The postholder may need to travel to attend or present at international conferences, to provide training or site visits relating to the multi-country project.

Competency/skills:
Essential skills and experience

• Postgraduate degree: MSc in biostatistics, epidemiology, data science or another related subject ;
• Relevant experience in a similar position, working in surveillance, observational or other epidemiological research studies ;
• Proficient R user, with demonstrable experience in data management and visualisation (e.g. dplyr, ggplot2), reproducible reporting (e.g. R Markdown, Quarto), and collaborative coding using Git and Git Hub/Gitlab ;
• Strong knowledge and experience of statistics as applied to epidemiological studies ;
• Strong knowledge of epidemiological studies and methods ;
• Excellent English level (minimum C1).

Desirable skills and experience

• Postgraduate research degree:
  PhD in biostatistics,…