Research assistant position in AI-driven cancer bioinformatics

Do you want to contribute to top-quality medical research?

We are looking for a highly motivated research assistant to join our research group in cancer bioinformatics at Karolinska Institutet. Our research combines artificial intelligence, digital pathology and cancer genomics to increase the understanding of tumor biology and identify biomarkers that can improve patient care. In this project, you will work with large-scale histopathological imaging and genomics data and use advanced computational methods to study cancer-related biological processes and cancer hallmarks in healthy and tumor tissues. You will be part of an interdisciplinary and international research environment at BioClinicum where you will work closely with researchers in cancer biology, bioinformatics and computer science.

Your role

You will work in a research project that uses artificial intelligence and computational pathology methods to study cancer biology using large-scale histopathological and genomic datasets. The project uses publicly available resources such as The Cancer Genome Atlas (TCGA) and Genotype-Tissue GTEx) to investigate cancer hallmarks in healthy and tumor tissues.

The work includes analysis of digital pathology images, application and evaluation of deep learning models, integration of imaging and genomics data, and statistical analysis of clinical outcomes. You will contribute to the development of computational workflows in Python and R and perform analyses using high-performance computing resources.

Who are you?

You have a degree in bioinformatics, computer science, biostatistics, computer science, biomedical engineering, computational biology or a related field. We are looking for a motivated, curious and analytical colleague with a strong interest in artificial intelligence, computational pathology and cancer research. Great importance will be placed on personal suitability.

Requirements and interests:

Experience in programming in Python for data analysis and machine learning. Experience in working with machine learning and/or deep learning. Experience in analyzing and integrating genomic, transcriptomic, biomedical or clinical datasets. Experience in developing and using computational methods for research purposes. Strong interest in applying artificial intelligence and computational methods to biomedical research questions. Good collaboration skills and ability to work both independently and in a team. Very good ability to communicate in English, both spoken and written.

Merit:

• Experience in research in cancer genomics, transcriptomics or bioinformatics.
• Experience in digital pathology, computational pathology or medical image analysis.
• Experience with statistical analysis in R.
• Experience working in Linux environments and with high-performance computing systems.
• Experience in integrating imaging, genomics and clinical data.
• Experience in applying or evaluating deep learning models in biomedical research.

What do we offer?

A creative, international and inspiring environment filled with competence and curiosity. Karolinska Institutet is one of the world’s leading medical universities. Our vision is to drive the development of knowledge about life and work for better health for all. Here we conduct successful medical research and have the largest range of medical education in Sweden. As a university, Karolinska Institutet is a government agency. This means that you receive good benefits through our collective agreement. Employees at KI are also offered the opportunity for a flexible working method. This means that if the business you work in allows, you can work part of your working hours remotely. You are also allowed to exercise freely in our modern wellness facilities where trained staff are on site.

Location: BioClinicum, Solna

Application

KI applies individual and differentiated salary setting according to our collective agreements RALS and RALS-T.

The application must be made via the recruitment system Varbi. In this recruitment you apply with your CV without a cover letter. In the application form you will instead be asked to answer a few questions about why you are applying for the job.

This is a fixed-term employment of 4 months.