Veterinærinstituttet søker gode hoder med engasjement, vilje og godt humør som vil finne løsninger på store samfunnsutfordringer i Norge og i verden. Som nasjonalt beredskaps- og forskningsinstitutt avdekker og avverger Veterinærinstituttet smittsomme sykdommer og andre trusler mot helsa til dyr, fisk, mennesker og miljø. Videre jobber instituttet på lag med myndigheter og næringsliv for god dyrevelferd, trygg mat og bærekraftige bionæringer. Veterinærinstituttet har rundt 300 ansatte på seks steder i landet. Fra våren 2021 er hovedkontoret med unike, moderne forsknings- og laboratoriefasiliteter på Ås sør for Oslo. Se www.vetinst.no
Wanted: Highly motivated and independent Data Manager who wants to use their skills for better animal and fish health
We are looking for a highly motivated and independent Data Manager to support our efforts at improving our data management and analyses processes at the Norwegian Veterinary institute, Section for Epidemiology. The position is situated at our brand-new and modern facilities at Ås.
Sustainable and economic production of animals and fish depends on good health and welfare. The Norwegian Veterinary Institute has a strong focus on animal health and safety, which includes monitoring, prevention and eradication of diseases and other health problems in animals. An integrated part of this work is to compile and analyse data from many different sources, for example production data, laboratory data and environmental data. In order to strengthen our competence and capacity within the management and analysis of animal and fish health data, we are now looking for a skilled and future-oriented data manager for a permanent full-time position.
The section for Epidemiology has a large project portfolio and currently employs around 25 researchers within the fields of epidemiology, disease transmission modelling, risk assessment, health economics, biostatistics and bioinformatics. It also has an international profile and large workplace diversity. The section provides a research-focused environment with good opportunities for professional development and network building. The employees have an understanding of our mission, which is ensuring better health for animals and humans.
The Norwegian Veterinary Institute is committed to diversity, and we therefore encourage anyone who is qualified to apply for the position, regardless of age, gender, functional ability, gaps in CV, nationality or ethnic background.
Work tasks
The position will require the candidate to facilitate and implement data acquisition, management and transformation.
This entails:
Responsibility for standardising quality control for datasets and code, including version control
Facilitate integration of different datatypes and sources
Facilitate and support creation and use of databases in the section
Automatisation of data management and data analyses
Facilitate and support documentation of work processes in the section
Establish standards and solutions for structuring and visualising data
The appointed candidate will also be involved in coordinating the work with databases, data structure and interaction with other sections in the institute, and is expected to contribute with deliverables for research and advice for authorities. The position includes possibilities for personal development in the fields of data analysis and dissemination.
The candidate will work in close collaboration with researchers at the section for Epidemiology. The main tool for statistics and programming in the research group is R. We utilise R in a wide variety of applications, such as data management, statistics, as well as the development of interactive web applications. The group works closely together to maintain and extend our existing source code and to develop new scripts and workflows.
Qualifications
The candidate should hold a MSc Degree in computer science, data science, statistics or an equivalent field. Documented work experience within relevant fields can compensate for the lack of formal education within these fields.
Excellent written and oral skills in English are required. Skills in a Scandinavian language is an advantage.
In addition, we will emphasise:
Experience with databases, perhaps also other data management solutions
Experience with large data sets and integration of data sets
Good programming skills, preferably in Python or R, and experience with version control
Experience with web based data visualisation and with data management
Interest in or knowledge of veterinary or other biological research is an advantage
Being tech-savvy and able and interested in understanding analysis processes
We seek candidates that identify with the Norwegian Veterinary Institute’s core values: future-oriented, ambitious, and interacting.
Personal suitability and motivation for the position will be emphasised.
Personal skills
Ability to work in a team and to assist colleagues
Be creative and interested in exploring new technology and in adopting new ways of working and solving problems
Ability to take personal responsibility for getting things done
Good problem-solving skills, be able to work independently
Good communication and collaboration skills
Able to work closely with people from other disciplines
We offer
An interesting position with exciting and varied tasks
A work environment characterised by a high level of competence, professional challenges and diversity
A flexible and inclusive workplace
Favourable agreements for loans and pension savings in the Government Pension Fund and for this contribution, 2% of salary is deducted
The position is paid in accordance with the Government's salary regulations. The position is placed as a senior advisor in position code 1364, or as a researcher in position codes 1108, 1109 or 1110, depending on qualifications.
If you find the above of interest, we look forward to receive your application. CV, diploma, certificates and other relevant documents must be uploaded electronically in Webcruiter.
For further information about the position, you are welcome to contact senior researcher Britt Bang Jensen or senior researcher Karin Lagesen. We point out that the CV is used for an extended list of applicants. If you want to be exempted from the public applicant list, this must be justified in the application. Information can be published even if you have requested not to be listed on the applicant list. You will be notified if the request for a reservation
