Associate Senior Lecturer in Systems Biology

EURAXESS Ireland; Town of Sweden (NY); On-site; USD 53,820 - 78,660; Full time

Job summary

The University of Skövde invites applications for an Associate Senior Lecturer in the Division of Biology and Bioinformatics. The role aims to develop an independent research profile in AI-driven precision medicine within systems biology, with teaching and supervision responsibilities and an emphasis on national and international collaborations.

The appointment is full-time and fixed-term for four years, with potential promotion to Senior Lecturer upon meeting eligibility requirements.

Qualifications

• PhD in Systems Biology, Biomedicine, Bioscience or closely related field.
• Documented experience in AI/machine learning methods and statistical modelling for analysis of biological and medical data.
• Demonstrated ability to communicate scientific research in English, both orally and in publications.
• Documented collaborative skills and ability to develop research collaborations.

Responsibilities

• Conduct research in AI-driven precision medicine.
• Initiate and develop national and international research collaborations and seek external funding.
• Collaborate with academic, clinical, and industrial partners.
• Teach, supervise, and examine at Bachelor’s and Master’s levels.
• Administration.

Skills

Python

R

AI/ML methods

Statistical modelling

Communication in English

Collaborative skills

Education

PhD in Systems Biology or related field

Tools

TensorFlow

PyTorch

GPU HPC

Job description

Offer Description

University of Skövde is a central and leading player in education, research, and collaboration that supports the transition towards a sustainable future – regionally, nationally, and internationally. Our 12,000 students and 500 employees create conditions for society's digital transformation and sustainable societal development through high-quality education and research in selected areas. Welcome to a vibrant campus in the heart of Skaraborg.

About Us

Would you like to help advance our research and education in AI-driven precision medicine? At the Division of Biology and Bioinformatics, you will become part of an internationally recognised research and education environment.

At the University of Skövde, we work collaboratively across disciplines to create engagement, quality, and impact on a vibrant campus. We take shared responsibility for our work and contribute to achieving the organisation’s goals. The University’s size and organisational structure provide excellent opportunities for close collaboration across schools and divisions, as well as with colleagues, students and external partners.

The position is within the subject of Systems Biology, which at the University of Skövde is defined as the development and application of computational, mathematical and statistical methods and models together with the generation of large-scale data for the study of biological systems. Systems Biology is also the name of the School of Bioscience’s interdisciplinary research environment, bringing together research on biological systems and fostering collaboration between research groups with complementary expertise.

Your Role

The position as Associate Senior Lecturer is a career development position intended to lead to promotion to a permanent position as Senior Lecturer. The successful candidate will have the opportunity to establish an independent research profile and further develop both research and teaching qualifications to meet the eligibility requirements for promotion to Senior Lecturer. The appointment is full-time and fixed-term for four years. An individual career development plan will be established to support the Associate Senior Lecturer's professional development. During the appointment, the Associate Senior Lecturer may apply for promotion to Senior Lecturer once the eligibility requirements have been fulfilled. Subject to successful promotion, the position will become permanent.

The aim of the position is for you to establish an independent research profile within AI-driven precision medicine with a strong foundation in systems biology. You are expected to contribute to the long-term development of the School’s research in this area by developing national and international collaborations and preparing competitive applications for external research funding. The position also includes teaching and supervision within the School’s educational programmes, particularly in bioinformatics and systems biology at the Master's level.

The main responsibilities include:

• Conducting and developing research in AI-driven precision medicine.
• Initiating and developing national and international research collaborations, and actively seeking external research funding.
• Collaborating with the wider society, as well as with academic, clinical, and industrial partners.
• Teaching, supervision, and examination at Bachelor’s and Master’s levels.
• Administration.

Additional duties may be assigned as part of the role.

Qualifications

We are looking for candidates who have:

• A PhD in Systems Biology, Biomedicine, Bioscience or a closely related field, or equivalent scientific competence. Priority will be given to candidates who obtained their PhD, or achieved equivalent competence, no more than five years before the application deadline (Higher Education Ordinance, Chapter 4, Section 4a).
• Documented scientific expertise in systems biology with a focus on biological or biomedical research questions.
• Documented experience in the development and application of AI/machine learning methods and statistical modelling for the analysis of biological and medical data.
• Demonstrated ability to communicate and present scientific research findings in English, both orally and through scientific publications.
• Documented collaborative skills and the ability to contribute to and develop research collaborations.

The following assessment criteria will also be taken into account in the appointment process:

Of highest importance are:

• The level of proficiency required for eligibility.
• Demonstrated ability to independently conduct research and publish scientific results.
• Ability and potential to develop competitive applications for external research funding.
• Documented experience in establishing and developing national and international research collaborations and networks.

Of second highest importance are:

• Documented programming proficiency in Python and R for advanced analysis and integration of large-scale biological and medical data.
• Knowledge of network and multi-omics data analysis, including bulk and single-cell RNA-seq analysis, as well as experience with applications in precision medicine and advanced therapy medicinal products (ATMPs).
• Documented experience with established AI/machine learning frameworks, such as TensorFlow, PyTorch, or equivalent, as well as practical experience in developing and applying advanced AI models on high-performance computing infrastructure, including GPU-based systems.

Also of importance are:

• Demonstrated teaching proficiency

Type of employment: The position is fixed-term for four years. During the period of employment, an Associate Senior Lecturer may apply for promotion to Senior Lecturer once the eligibility requirements have been met. Subject to a successful promotion, the position will become permanent.

Extent: Full-time 100%

Reference number: HS 2026/294

Start date: By agreement

Contact information: For further information about the position, please contact: Diana Tilevik, Head of School of Bioscience via email at [e-mail] . Union information is provided by representatives of Saco‑S or ST. All can be reached via the University switchboard on [phone].

Organization/Company

The University of Skövde Research Field Biological sciences » Biology Researcher Profile Recognised Researcher (R2) Application Deadline 14 Aug 2026 - 12:00 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Hours Per Week 40 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number HS 2026/294 Is the Job related to staff position within a Research Infrastructure? No