PhD student in Medical Science

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We are looking for a PhD student in Medical Science.

Your work assignments

Treatment resistance is the main cause of relapse in many forms of leukemia and constitutes a significant obstacle to long-term cure. Resistance can be primary, where cells are insensitive to treatment from the time of diagnosis, or acquired, where resistant cell clones are selected during treatment. The biological mechanisms behind treatment resistance are complex and largely still unknown in many forms of leukemia. A deeper understanding of the molecular and cellular processes that drive resistance is therefore crucial for the development of more effective treatment strategies, biomarkers for risk stratification, and individualized therapies that can improve patients' survival and quality of life. To understand how treatment resistance arises and changes over time in different patients and between cell populations, we study this using advanced single-cell genomics and computational biology.

We are looking for a highly motivated person with a passion for driving research development forward. The ideal candidate has a solid background in data analysis, excellent problem-solving skills, and thrives in a collaborative and interdisciplinary environment.

As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part of. A typical workday might involve writing and running code to process sequencing data on a computer server, applying statistical models and machine learning algorithms, and performing downstream data analysis, including statistics and visualization, as well as writing scientific texts summarizing the results. Your work may also include teaching or other departmental duties, up to a maximum of 20% of full-time.

Your qualifications

You have completed an advanced degree in Medical Biotechnology or completed courses of at least 240 credits, of which at least 60 credits at advanced level in bioinformatics or mathematical modeling or have otherwise acquired essentially equivalent knowledge.

You must be proficient in both oral and written communication in English and have good teamwork skills.

Documented experience with Unix command-line interface (CLI) and Bash coding as well as skills in another programming language such as Python or R for analysis and visualization of single-cell RNA sequencing is a requirement. Knowledge of statistics, AI/ML, mathematical modeling is highly desirable. Knowledge of AML and treatment resistance as well as single-cell deep learning frameworks such as scVI are desirable.

Personal qualities, such as creativity, curiosity, accuracy and a structured approach to problem solving are essential.

Your workplace

The Department of Biomedical and Clinical Sciences is one of the university’s largest departments, with operations mainly in the Faculty of Medicine and Health Sciences. Our aim is to engage in medical and biomedical education and research of high international standing. At undergraduate level the department is responsible for most of the medical program, the speech and language pathology program and the biomedical program. For more information about the Department of Biomedical and Clinical Sciences, please follow: https://liu.se/en/organisation/liu/bkv

The Department of Cell and Neurobiology (CNB) comprises 100% of the workplace where we conduct research as well as undergraduate and graduate education in bioinformatics. You will also be part of the SciLifeLab & Wallenberg National Program for Data-Driven Life Science (DDLS), a 12-year initiative aimed at recruiting and educating the next generation of data-driven life scientists and creating globally leading capabilities in computational and data science within life sciences in Sweden. Through this program, you will participate in the national DDLS research school and join a dynamic community of doctoral students and postdocs from both academia and industry. You will also have access to extensive training and resources in computational science, including high-performance computing (HPC) clusters. For more information about the DDLS program, see  here.

The employment

In connection with your admission to the doctoral program, your employment as a PhD student is handled. More information about the doctoral studies at each faculty is available at  Doctoral studies at Linköping University.

The employment has a duration of normally four years’ full-time equivalent. You will initially be employed for one year, after which your employment will be renewed for a maximum of two years at a time, depending on your progress through the study plan. Extension of employment up to five years is based on the degree of teaching and institutional assignment. Further extensions may be granted in exceptional circumstances.

Starting date by agreement.

Salary: and employment benefits

The salary of PhD students is determined according to a locally negotiated salary progression. The starting salary is SEK 33,700 per month (2026 salary level). The salary is reviewed annually as part of the regular salary review process and is also adjusted upon completion of 30% and 60% of the PhD studies.

More information about employment benefits at Linköping University is available here.

Union representatives

Information about union representatives, see Help for applicants .

Application procedure

Apply for the position by clicking the “Apply” button below. Your application must reach Linköping University no later than November 5, 2026.

Applications and documents received after the date above will not be considered.

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 .

We look forward to receiving your application!

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