Are you passionate about data and would you love to work in a scientific data ecosystem?
EFSA is looking for scientists who wish to use their skills in an information-rich environment or data scientists who are familiar with working in the scientific data ecosystem and can tailor IT solutions to support the scientific risk assessment process from data acquisition to data analysis and data publication.
In addition you will support the implementation of the requirements of the new Regulation on transparency and sustainability of the EU risk assessment in the food chain to ensure more transparency in EFSA’s scientific assessments for example through the maintenance of a register of studies database as well as proactive publication of evidence used in EFSA’s assessments.
Curious to find out more about evidence management and the risk assessment process? You can discover how EFSA wants to further develop the excellence of its scientific assessments, enhancing transparency and openness in “Principles and process for dealing with data and evidence in scientific assessments”
- Work closely with Member State data providers, statisticians, working group experts and researchers to collect/collate data from a wide range of sources that is fit-for-purpose for risk assessments;
- Improve methods and tools for data reporting, integration and analysis for scientific assessments;
- Support the development of a standardised framework for data collection, management and analysis (processes and procedures);
- Support the development and management of suitable technical environments for hosting the data management and analysis framework, liaising with IT service providers;
- Prepare data visualisations and ad hoc analyses to provide insight into aspects of food and feed safety for risk managers, scientists and/or consumers;
- Define and manage grant and procurement contracts relating to evidence management;.
- Create automated anomaly detection systems and provide for constant tracking of its performance;
- Select features, build and optimize classifiers using machine learning techniques and building statistical and mathematical models;
- Ensure activities of processing, cleansing and verifying the integrity of data used for analysis;
- Perform data and text mining using state-of-the-art methods;
EFSA employs around 500 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 practices and conduct towards other people.
As an EFSA staff member, you will have the chance to make a difference to European food safety working in an international and dynamic environment. You will also be able to participate in several valuable networking opportunities across Europe.
Furthermore, you will be joining EFSA at an exciting time as we are implementing the Transparency Regulation: EFSA expanded its mandate and will grow considerably over the next few years.
To find out more about EFSA, visit us at www.efsa.europa.eu.
- Various allowances to which the successful jobholder may be entitled, such as a household allowance, expatriation allowance (16% of basic salary), dependent child allowance and education allowance. The salary is subject to a Community tax deducted at source and staff members are exempt from national taxation.
- Wide range of leaves (e.g. annual leave, parental leave, public holidays) and flexible working hours. Besides working in EFSA’s modern headquarter located in the heart of Parma, staff members are also offered the possibility to telework up to 50% of working time.
- A comprehensive welfare package including pension scheme, medical, accident and occupational disease insurance coverage, unemployment and invalidity allowance, and travel insurance. Further information regarding rights, conditions of employment and benefits can be found at the following links:
ii. Professional experience in defining data quality criteria and rules for data validation and assessment, contributing to the development of standards for data collection and related standard terminologies;
iii. Professional experience in the use of statistical programming languages such as R, SAS or Python and data format languages such as XML, RDF and JSON.
iv. Experience with cloud platforms;
The following is considered a plus:
v. Experience in managing scientific projects ensuring on-time delivery of project outputs;
vi. Experience in the collection and/or analysis of food safety related data.
i. Work with others: Work confidently within a group and contribute to achieve the common goals, understanding own role and how it supports the team and the organisation; able to cooperate, listen actively, manage conflicts and motivate colleagues;
ii. Plan and measure for results: Set ambitious goals that exceed the targets and create plans to achieve them; ensure an efficient and responsible planning and management of resources;
iii. Focus on stakeholder needs: Committed to meet the expectations and requirements of internal and external stakeholders; establish and maintain effective relationships with stakeholders and gain their trust and respect;
iv. Deal with ambiguity: Able to work constructively within unexpected and unpredictable situations and show resilience and composure, even in difficult or adverse circumstances; able to decide and act without having the total picture; accept constructive feedback in a positive manner;
v. Demonstrate political savvy and strategic agility: Look beyond the current situation and visualise what the future can bring with a keen sense for arising opportunities and good understanding of how and when to best pursue them; able to think in a creative and innovative way;