Senior Lecturer in Medicine

University of Gothenburg

Sweden

Reference number: PAR 2025/943

The University of Gothenburg

The University of Gothenburg tackles society’s challenges with diverse knowledge. With 58,000 students and 6,800 employees, the university is a large and inspiring place to work and study. Strong research and attractive study programmes attract researchers and students from around the world. With new knowledge and new perspectives, the University contributes to a better future.

The DDLS Fellows Program

Data-driven life science (DDLS) uses data, computational methods, and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems.

The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), coordinated by SciLifeLab, aims to recruit and train the next generation of data-driven life scientists and to establish globally leading computational and data science capabilities in Sweden. The program is funded with 3.3 billion SEK (approximately 350 MUSD) over 12 years by the Knut and Alice Wallenberg (KAW) Foundation.

The DDLS program:

funds 50 high-profile Fellows
supports over 210 postdoctoral positions
includes a research school of 260 PhD students, including industry PhDs and postdocs

Fellows are recruited to 11 participating universities/organizations and brought together within the DDLS program, which spans four strategic areas:

Cell and molecular biology
Evolution and biodiversity
Precision medicine and diagnostics
Epidemiology and biology of infection

More information: www.scilifelab.se/data-driven

During 2022–2024, 39 Fellows were recruited. The program now seeks to recruit 11 additional Fellows. Each DDLS Fellow receives a 17 MSEK (approximately 1.6 MUSD) recruitment package for five years, covering salary and research resources such as PhD students and postdoctoral positions.

The Fellowships are tenure-track positions. Host organizations assume responsibility for long-term faculty appointments following tenure evaluation.

The future of life science is data-driven. Will you be leading the change with us?

DDLS Fellow at the University of Gothenburg

The University of Gothenburg is recruiting a DDLS Fellow in Data-Driven Precision Medicine and Diagnostics for a tenure-track position as Associate Senior Lecturer.

The position includes a generous career package and provides the opportunity to become an independent researcher within the academic environment at Sahlgrenska Academy (Faculty of Medicine), closely connected to:

Sahlgrenska University Hospital
Faculty of Science and Technology, University of Gothenburg
AstraZeneca
Chalmers University of Technology

The Fellow will also be part of:

the Wallenberg Centre for Molecular and Translational Medicine (WCMTM)
the national DDLS programme at SciLifeLab

At Sahlgrenska Academy and the Faculty of Science and Technology, extensive research relevant to this position is conducted, including:

genomics and metagenomics
culturomics
proteomics and transcriptomics
software development
machine learning and large-scale statistical health data analysis

Division of Data Science and AI (DSAI)

The Division of Data Science and AI (DSAI) at the Department of Computer Science and Engineering is a joint department between Chalmers University of Technology and the University of Gothenburg.

DSAI conducts internationally recognized research in:

modern AI
computer science
algorithms

The division also includes research groups focused on applications in:

life sciences
medicine
pharmacology

Active collaborations exist with Sahlgrenska University Hospital and AstraZeneca, and many projects are part of the Wallenberg Autonomous Systems and Software Program (WASP).

Subject

Data-driven precision medicine and diagnostics

Subject Description

Data-driven precision medicine and diagnostics encompass data integration, analysis, visualization, and interpretation for:

patient stratification
biomarker discovery
disease risk assessment
diagnosis and drug response
health monitoring

Research is expected to use strong national and international assets, including:

molecular data (e.g. omics)
imaging
electronic healthcare records
longitudinal patient and population registries
biobanks

Applicants are expected to have a strong computational focus, developing and applying novel methods based on:

machine learning
artificial intelligence
advanced computational techniques

Job Assignments

The successful candidate is expected to:

establish an independent and competitive research programme
actively apply for external research funding
collaborate with:
- Sahlgrenska Academy
- Faculty of Science and Technology
- Sahlgrenska University Hospital
- AstraZeneca
- Chalmers University of Technology

The Fellow will:

participate in WCMTM activities
attend DDLS programme meetings
collaborate within the national network of Wallenberg Centres for Molecular Medicine at:
- University of Gothenburg
- Lund University
- Linköping University
- Umeå University
- SciLifeLab (Stockholm/Uppsala)

Teaching

The position includes teaching at:

doctoral
master’s
undergraduate levels

Teaching duties include:

lectures
exercises
examinations
supervision of PhD, medical, master’s, and undergraduate students

Candidates without formal higher education teaching qualifications must complete such training within one year of appointment.

Language Requirements

Proficiency in Swedish at B2 level (GERS) is required no later than six months before the end of the Associate Senior Lecturer appointment. Mandatory Swedish language courses are provided.

Eligibility

Eligibility requirements follow:

Chapter 4, Section 4a of the Swedish Higher Education Ordinance
Appointment Procedure for Teaching Posts at the University of Gothenburg

Applicants must:

hold a PhD in a relevant subject or equivalent scientific competence

Preference is given to applicants who obtained their PhD within seven years of the application deadline. Earlier degrees may be considered if special circumstances apply (e.g. parental leave or illness), which must be documented.

Proficiency in teaching in Swedish or English is required.

Assessment Criteria

Assessment is based primarily on scientific merits, and secondarily on pedagogical and administrative merits.

Scientific Merits

Emphasis is placed on:

independent research in data-driven precision medicine and diagnostics
integration of molecular and clinical data
translational research and diagnostic development

Evaluation focuses on quality rather than quantity of scientific output. Merits include:

success in attracting external funding
participation in national and international collaborations
quality of the submitted research programme
demonstrated research leadership

Pedagogical Merits

Emphasis is placed on:

documented teaching experience
supervision of students at undergraduate and doctoral levels
quality of teaching documentation

Administrative Merits

Experience in:

large research projects
collaborative or leadership roles

The overall assessment considers competence, development potential, collaboration ability, and contribution to organizational development.

Other Information

The DDLS recruitment package is subject to final approval by the SciLifeLab Board. The successful candidate is expected to apply for additional external funding.

An individual scientific and educational development plan will be established. Promotion to Senior Lecturer is expected within four to five years.

Internationally recruited staff are offered:

relocation support
tax advisory services (Global Mobility support)

Employment

Employment type: Fixed-term (career-development position)
Duration: Five years
Extent: 100%
Location: Determined based on research profile and preferences
Start date: As soon as possible, as agreed

The position may be extended by up to two years in cases of parental leave, illness, or similar circumstances. Promotion to Senior Lecturer is possible following assessment criteria of the relevant faculty and approved Swedish language proficiency (B2).

Appointment Procedure

The selection process includes:

evaluation by external experts
interviews
oral presentations

Candidates may meet representatives of participating faculties to assess research environment fit.

Contact Information

Johan Zelano
Professor / Chief Physician, Sahlgrenska Academy
Director, WCMTM
johan.zelano@neuro.gu.se

Margit Mahlapuu
Professor, Faculty of Science and Technology
Co-Director, WCMTM
margit.mahlapuu@gu.se

Camilla Skånberg
PhD, Research Coordinator, WCMTM
camilla.skanberg@gu.se

Trade Unions

Union representatives:
https://www.gu.se/om-universitetet/jobba-hos-oss/hjalp-for-sokande

How to Apply

Applications must be submitted via the University of Gothenburg online recruitment system and follow the Guidelines for the Sahlgrenska Academy for applications for teaching positions.