Senior Associate Professor in Medical Data Analytics

Linköping University; Linköpings kommun; On-site; SEK 700,000 - 900,000; Full time

Job summary

Linköping University invites applications for a permanent, full-time Senior Associate Professor in Medical Data Analytics. The role leads AIDA Data Hub and collaborates with national and international partners to advance patient-centered AI research and data governance.

The successful candidate will develop strategies, secure external funding, supervise doctoral students, and contribute to teaching at advanced levels, while engaging across disciplines and healthcare settings in Sweden and beyond.

Qualifications

• Experience and achievements in AI applications involving large-scale medical data.
• Scientific work involving AI for radiological imaging data.
• Contributions to open-source research software or similar initiatives.
• Interdisciplinary collaboration with medical researchers.

Responsibilities

• Lead and develop collaborations, including international research consortia.
• Secure external funding to support the hub's development.
• Oversee scientific collaborations and platform features for medical applications.
• Contribute to teaching at advanced levels and supervise doctoral students.
• Engage in national and international developments and disseminate findings.

Skills

AI for medical data

Data analytics

Research collaboration

Education

Docent (Senior Associate Professor)

Tools

Linux environments

Job description

Senior Associate Professor in Medical Data Analytics

Linkoping

Reference number LiU-2026-03075

We have the power of over 50,000 students and co‑workers. Students who provide hope for the future. Co‑workers who contribute to Linköping University meeting challenges of today. Our fundamental values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your application!

Work assignments

Analytic Imaging Diagnostics Arena (AIDA) is a national initiative based at Linköping University that supports research and innovation in artificial intelligence (AI) for precision diagnostics. AIDA brings together academia, healthcare, and industry to translate advances in AI into clinically useful tools that benefit patients. Read more at www.medtech4health.se/aida .

AIDA Data Hub, a branch of AIDA, is a national e‑infrastructure for research and innovation in data‑driven precision health. We provide secure computing and storage resources, data and data‑sharing services, as well as advanced support and training in data governance, AI development, and secure systems design. Our users include researchers, industry partners, and healthcare providers of national significance. Learn more at datahub.aida.scilifelab.se .

You will be active within the research community, participating in departmental activities such as seminars and workshops, contributing to research projects, communicating research findings through scientific publications, and helping to attract external research funding.

The position also includes contributing to competence development across Sweden through AIDA’s activities, including project support, workshops, and courses. To a limited extent, the position may involve teaching at undergraduate and advanced levels, as well as supervising students within the faculty’s educational programmes.

You will actively contribute to the university’s development efforts. Collaboration is an integral part of the university’s mission in both research and education. Research collaboration involves disseminating, making accessible, and creating value from research findings. The position entails close interaction with leaders and experts from various organizations, universities, companies, and healthcare providers in different cities and countries. Travel is therefore expected as a natural part of the role.

In this position, you will serve as the Scientific Lead of AIDA Data Hub. This includes leading and developing the hub’s strategies to support excellent patient‑centred research and overseeing its scientific collaborations. The role is part of the hub’s management team and reports to the Head of Unit, who has overall responsibility for the hub’s operations. As the hub is a unit within SciLifeLab, you will be expected to assume the role of Platform Scientific Director within the SciLifeLab organization.

Key responsibilities include developing and leading collaborations, particularly within large‑scale international research consortia, and successfully securing external funding to support the hub’s continued development. The role also includes responsibility for the hub’s support to strategic partners and for platform features specifically tailored to the medical application domains served by the hub. In addition, the position involves hands‑on work related to the development of these systems.

As part of your duties, you will stay informed about national and international developments within your field, as well as broader societal developments relevant to your work.

You are flexible and able to move between different pedagogical and scientific contexts. You willingly share your knowledge and contribute to the professional development of the team, collegial ways of working, and a positive social environment. We regard active presence and engagement as essential both for carrying out your responsibilities effectively and for thriving within the workplace community.

Qualifications

We are looking for candidates who have been appointed as a Docent (Senior Associate Professor) or possess equivalent scientific competence, and who have demonstrated pedagogical expertise or other professional expertise of relevance to the subject area and duties of the position.

For this position, primary emphasis will be placed on scientific expertise, followed by technical expertise, collaboration skills, and finally other qualifications, which will be assessed as being of equal significance relative to one another.

Regarding scientific expertise

The following qualifications will be assessed:

• Required: Experience and scientific achievements in AI applications involving large‑scale medical data.
• Particularly meritorious: Scientific work involving AI applications for radiological imaging data.
• Particularly meritorious: Experience from research support environments, including contributions to open‑source research software or similar initiatives.
• Meritorious: Interdisciplinary contributions made in collaboration with medical researchers.

Regarding technical expertise

The following qualifications will be assessed:

• Required: Extensive programming experience in data analytics and artificial intelligence.
• Particularly meritorious: Expertise in software development, especially in Linux environments.
• Meritorious: Knowledge and experience of systems administration, particularly in Linux environments.

Regarding collaboration and engagement

The following qualifications will be assessed:

• Particularly meritorious: Documented excellence in research collaboration. Close collaboration with healthcare organizations is of particular relevance.

Regarding teaching and educational expertise

The following qualifications will be assessed:

• Required: Documented experience of teaching at the advanced (Master’s) level.
• Meritorious: Experience supervising doctoral students.

Regarding other qualifications

Other qualifications that will be assessed include leadership skills, medical expertise, and personal attributes:

• Required: Ability to work independently and in a results‑oriented manner.
• Particularly meritorious: Principal responsibility for securing and managing research grants.
• Particularly meritorious: Medical training or education.
• Particularly meritorious: Experience working in industry.

As research is conducted in English, you must be able to demonstrate the ability to carry out research and communicate effectively in English.

This employment is permanent, full‑time.

This position may come to be a security classified position. If so, security screening including a records check will be carried out before any decision on employment is made.

Salary and employment benefits

At Linköping University, salaries are set individually and differentiated, in accordance with the applicable collective agreements (RALS/RALS‑T) and the university’s salary‑setting guidelines.

More information about employee benefits is availablehere .

We welcome applicants with different backgrounds, experiences and perspectives - diversity enriches our work and helps us grow. Preserving everybody's equal value, rights and opportunities is a natural part of who we are. Read more about our work with: Equal opportunities.