Research Assistants in Tumour Evolution and Single-cell Genomics at BKV
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We are now looking for Computational Research Assistants in Tumour Evolution and Single-cell Genomics.
The position
Cancer evolves over time and space, with subclones often acquiring new mutations that drive tumour growth and resistance to treatment.
In this work, you will leverage large-scale single-cell genomics to uncover the clonal and mutational features that underpin tumour evolution. By integrating data from primary patient samples and experimental models, you will predict evolutionary trajectories and identify novel targets for precision medicine, aiming to enhance treatment responses and improve long-term survival in cancer patients.
You will have the opportunity to learn and develop novel computational workflows for cutting edge single-cell genomics technologies and contribute to the advancement of precision medicine in oncology.
A typical workday may involve writing and running code to pre-process sequencing data on a compute server, applying statistical models and algorithms to construct evolutionary trees, and performing downstream data analysis, including statistics and visualization, and writing scientific texts summarising results. Your work may also include teaching or other departmental duties, up to a maximum of 20% of full-time.
The person we need
We are looking for a highly motivated individual with a passion for advancing scientific knowledge. The ideal candidate will possess a strong background in data analysis, excellent problem-solving and analytical skills, and the ability to thrive in a collaborative and interdisciplinary environment.
The following education, experience and expertise are required:
- You have graduated at Master’s level in bioinformatics, computational biology, data analysis, computer science, biostatistics, biological engineering, applied mathematics/physics or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses, in natural sciences, life sciences, or engineering. Alternatively, you have gained essentially corresponding knowledge in another way.
- Applicants must be skilled in both oral and written communication in English and be able to work well in collaboration with others.
In addition, the following education, experience and expertise will strengthen an application:
- proven experience with Unix command-line interface (CLI) and Bash scripting
- proficiency in a higher-order programming language like Python or R
- experience in high-throughput sequencing data and single-cell analysis
- knowledge in advanced statistics and AI/ML
- knowledge in phylogenetics
- experience in data visualisation
Personal characteristics, such as a high level of creativity, curiosity, thoroughness, and/or a structured approach to problem-solving are essential.
The workplace
The position is located in the division of Cell and Neurobiology (CNB) at the Department of Biomedical and Clinical Sciences (BKV). The department carries out research as well as undergraduate and postgraduate education within Medical Science.
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 training the next generation of data-driven life scientists and to create globally leading computational and data science capabilities in life science in Sweden. Through this program, you will also have access to extensive computational training and resources, including high-performance computing (HPC) clusters.
More information about the activities in the Medical Faculty can be found here. For more information about the DDLS program, please visit here.
The employment
The position is a full-time, fixed-term employment for one year.
Starting date according to agreement.
Salary and employment benefits
More information about employee benefits 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 6th of June 2025.
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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Contact persons
Johanna Källming
HR-manager
+46 13 28 57 76
Antonio Lentini
Assistant Professor