Spesialingeniør - Data Engineer Positions in AI-Enhanced Pathology Diagnostics. Temporary project positions (12 months)

About Us: Advancements in information technology are reshaping the landscape of pathology, and we are at the forefront of this transformation. The strategic research project "Pathology services in the Western Norway Health Region – a centre for applied digitization", based in both Stavanger and Bergen, is driving the development of AI models to support pathology departments and pathologists in their diagnostic work, with a particular focus on cancer, chronic kidney disease, and workflow optimization. The research group has recently secured additional funding for a follow-up project titled "Advancing AI-enhanced pathology diagnostics of chronic kidney disease: Identifying, visualizing, and interpreting prognostic features."

Position Overview: We are currently seeking dynamic and skilled individuals to join our team as Data Engineers. These positions are integral to the development, validation, and testing of AI algorithms on digital pathology images, addressing both tumorous and inflammatory conditions. The successful candidates will actively contribute to ongoing research and innovation in the group by solving problems related to data management, data infrastructure, model testing, software development and by supporting students from Bachelor to PhD levels.

Detailed information about the position can be obtained by contacting Sabine Leh, e-mail: sabine.leh@helse-bergen.no

Work tasks

• Development, validation, and testing of AI algorithms on digital pathology images, addressing both tumorous and inflammatory conditions
• Contribute to ongoing research and innovation in the group by solving problems related to data management, data infrastructure, model testing, and by software development
• Supporting students from Bachelor to PhD levels in technical/programming and data-related questions

Qualifications

Required qualifications:

• Master’s or Bachelor’s degree in software engineering, bioinformatics, computer science, or a related field. Relevant work experience can compensate for a lack of formal education
• Proficiency in programming languages (e.g., Python, R, JavaScript), technologies (e.g., git, docker), databases (e.g., SQL, REDCap)
• Expertise in management and analyses of clinical data and images
• Proficiency in spoken and written English

Desired qualifications:

• Experience with working in different operating systems, setup ad operation of Linux-based OS
• Experience in data management planning for scientific study projects
• Experience in organizing data-handling tools and databases
• Experience in data visualization, data analysis and statistical analysis
• Previous experience working at the intersection of technology and healthcare
• Demonstrated ability to collaborate in interdisciplinary environments.

Personal qualities

We are looking for creative and enthusiastic candidates who thrive on cutting-edge technology and are determined to contribute to innovation and impact. You should be working both structured and analytic as well as flexible and service minded. As an independent problem solver, you ensure project success. One of the assets of our research group is the interdisciplinarity of our team members. If you have excellent team working skills and if you like to communicate and collaborate with people with diverse background, from interns to students, pathologists, and experienced researchers, we want to hear from you.

We offer

• An opportunity to be at the forefront of technological advancements in pathology
• Engaging and collaborative work environment
• Good opportunities for personal development and acquiring new skills
• Salary according to hospital guidelines
  

Diversity statement
We want to reflect the diversity of the population in our recruitment. We encourage everyone who is qualified to apply for vacant positions regardless of gender, age, disability, and multicultural background. The same applies if you have had a long period of absence from the labour market. Helse Vest wants to organise for inclusive recruitment.

Kontaktinformasjon

Sabine Leh, Prosjektleiar, sabine.leh@helse-bergen.no

Arbeidsstad

Haukelandsveien 22

5021 Bergen

Nøkkelinformasjon:

Arbeidsgivar: Helse Bergen HF


Referansenr.: 4944531226

Stillingsprosent: 100%

Engasjement

Søknadsfrist: 13.04.2025