Scientific Officer - Statistician

Biological sciences › Nutritional sciences

Organisation/Company EFSA - European Food Safety Authority Research Field Biological sciences › Biology Medical sciences › Medicine Computer science Mathematics Biological sciences › Nutritional sciences Mathematics › Statistics Researcher Profile First Stage Researcher (R1) Established Researcher (R3) Country Czech Republic Final date to receive applications 5 Jan 2026 - 21:59 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme?

Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Scientific Officer - Statistician
EFSA/X/AD/2025/05
EFSA - European Food Safety Authority
Prague, Czech Republic

The  European Food Safety Authority (EFSA) , based in Parma, Italy
is looking for a
Scientific Officer - Statistician for Uncertainty Analysis and Elicitation Methods
(Temporary Agent, Grade AD7)
Please send us your application by no later than  5 January 2026  at 23:59 (local time), following the instructions in the ANNEX .

The purpose of this call is to establish a talent pool (reserve list) that may be used for the recruitment of staff when a position becomes available and will be valid until  31/12/2026 . The validity of the talent pool may be extended.

IS THIS JOB FOR YOU?
Are you a dedicated statistician who wants to apply your knowledge in the context of regulatory risk assessments of food? Are you interested in discussing statistical methods and results with subject-matter experts and supporting communication with risk manages at the European Commission, Member States, and the public? You will work in the Methodology & Scientific Support Unit within the Risk Assessment Services Department.

The team provides end-to-end methods development and support within the scientific assessment process. Therefore, you will regularly collaborate with the risk assessment production units, EFSA panels and their working groups, as well as EFSA networks of member state experts. Your tasks will include both the implementation of existing guidance documents and the development of new methodologies. You will focus on the quantitative aspects of risk assessment.

In this role, you will analyse topics, propose quantitative questions, review evidence, suggest suitable methods, and perform or steer data analysis. A major part of your work will involve weighing heterogenous sources of evidence, estimating uncertainties and eliciting expert knowledge, as well as describing the remaining uncertainties in the conclusions.

Your key responsibilities
We are looking for an enthusiastic and versatile statistician who will take a leading role in quantitative risk and uncertainty analysis of food safety risk assessments and in the development and implementation methods for the structured elicitation of expert judgement.

The successful candidate together with colleagues will provide the support in the use of these methodologies to the different areas within EFSA and will work in a multidisciplinary environment with scientific experts and colleagues from several EFSA units and with EFSA partners in the field (e.g. other EU agencies, the European Commission, EU Member State competent authorities).

Establish and maintain practices and methodologies for the structured elicitation of expert judgements throughout the organisation;

Establish and maintain practices and methodologies for uncertainty analysis throughout the organisation;

Carry out and review statistical analysis and modelling and present the results to different target audiences;

Develop guidance and methodology documents and contribute to scientific outputs;

WHY EFSA?
EFSA employs over 565 staff members, and its Scientific Committee and Panels engage highly qualified and independent scientific experts. Every position within EFSA plays an important part in creating an inspirational environment in which to work and develop. EFSA's standards and values are driven by ethics and integrity and all staff is expected to act in a manner consistent with its principles, including fairness, transparency and impartiality in work…