ARIA - Literature Review AI Automation (IT-PW-WDA-2026-165-GRAP)

Genevahybrid

Posted 2w ago · via Smartrecruiters

See if I'm a fit →Tailor my resume for this role →Apply on Smartrecruiters ↗

About this role

ARIA/ CAiMIRA is a joint WHO-CERN project that models the airborne transmission of respiratory pathogens and develops an automated, structured, and transparent systematic literature review process to inform public health policy and guidance. It builds on CERN's expertise in data management and knowledge systematisation. The planned second phase will extend the project to other airborne pathogens and to indoor air quality. Work Package 4, "NLP Mechanisms for Systematic Literature Reviews," will continue automating the systematic review process and associated data analysis using AI-based methods. Within this work package, the QUEST graduate will spend 12 months bringing the NeutrinoReview prototype to production.…

Read the full description on Cern's site →

What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

Skills match

For this role: javascript, python, teams

Level fit

We check your title trajectory against the seniority signal of the role.

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

Location fit

This role is based in Geneva. We weight your proximity and willingness to relocate.

Score yourself on this role.

Free · no card · written explanation included

See if I'm a fit →

Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

javascriptpythonteams

More at Cern

See all open jobs at Cern →