Scientific Assistant 1

Scientific Assistant 1

Job description

The Faculty of Medicine of the University of Geneva benefits from an enriching multicultural dynamic to which it contributes through its influence within the framework of its mandates: teaching, research and its partnership with the Geneva University Hospitals (HUG).

Attached to the Department of Community Health and Medicine of the Faculty of Medicine, the Geneva Tumour Registry's mission is to record, analyse and better understand the dynamics of cancers in the canton of Geneva. It is an essential tool for epidemiological surveillance and deepening knowledge about the disease.

To strengthen its research activities, the Geneva Tumour Registry is looking for a:

Scientific Assistant 1 (40-60%)

The postholder will provide scientific and technical support to the Registry's research activities. They will notably contribute to data management, implementation of statistical analyses and preparation of scientific documents.

Activities will be carried out within the methodological framework defined by the management of the Geneva Tumour Registry and in collaboration with the research team.

Main activities

The postholder will participate in the following activities:

• Prepare data and implement statistical analyses planned in the validated analysis plans.
• Produce, visualise and document results, tables, figures and programmes necessary for research projects.
• Identify technical limitations or difficulties encountered and discuss them with scientific supervisors.
• Conduct relevant bibliographic research and contribute to the preparation of scientific publications, reports and presentations.
• Develop, adapt and document reproducible scripts, notably using version control tools. Analyses will be mainly performed using R or Python.
• Contribute to the preparation and monitoring of scientific, ethical and regulatory documents.
• Apply current rules on data security, confidentiality and protection.

Required qualifications and skills

Education and experience

• Bachelor's / Master's degree or equivalent qualification in a field relevant to the position, notably epidemiology, public health, biostatistics, data science or related discipline.
• Experience in managing and analysing quantitative data.
• Experience with molecular, (epi)genomic and/or radiological data is an asset.
• Experience in mathematical modelling is an asset.

Technical skills

• Good command of at least one statistical programming language, notably R or Python.
• Mastery of common statistical methods in epidemiology: descriptive statistics, regression and survival/time-to-event data analysis.
• Familiarity with longitudinal data analysis.
• Interest in modelling approaches and their application to early cancer detection is an asset.
• Good skills in data structuring, documentation and quality control.
• Interest in reproducible approaches and version control tools (e.g. Git).

Linguistic and transversal skills

• Rigor, organisational skills and attention to data quality.
• Ability to work collaboratively within a research team.
• Ability to write and communicate in French, as well as to consult and write scientific documentation in English.
• Sensitivity to confidentiality, data protection and scientific integrity requirements.

Starting date

01.02.2026 or to be agreed

Contact

If you meet the above description, we would be very pleased to receive your application (cover letter, CV, certificates, diplomas) which must be submitted exclusively online by clicking the button below "Postuler/Apply now". Further information can be obtained from Prof Marc Ryser, director of the Geneva Tumour Registry ( marc.ryser@unige.ch ). We look forward to receiving your application which will be treated confidentially.

Additional information

Fixed-term private law contract of 11 months.

The University of Geneva offers motivating employment conditions in a stimulating working environment. By joining us, you will have the opportunity to showcase your skills and personality and actively contribute to the influence of an institution founded in 1559.

From a parity perspective, the University encourages applications from the underrepresented sex.