Postdoctoral researcher in bioinformatics and translational breast cancer

Do you want to contribute to top quality medical research?

The research group of Professor Johan Hartman at the Oncology-Pathology department performs clinical and translational studies for breast cancer, with a special focus on precision cancer medicine and diagnostics. The aim is to better predict individual patients' unique treatment response, as well as to understand the role of tumor heterogeneity and tumor-stromal interactions in breast cancer disease progression.

We have well-established research lines that use a multitude of methods, including AI-assisted clinical and molecular pathology, genetic analysis, and population registry-based statistics, in a concerted effort to identify key factors contributing to current breast cancer treatment hurdles, as well as to identify novel biomarkers for further development into new diagnostic and therapeutic opportunities.

The successful candidate will have access to our unique patient datasets and is expected to conduct top-level breast cancer studies in collaboration with our collaborators at KI, KTH, and the Science for Life Laboratory.

Your mission

We are looking for a highly motivated postdoc with a strong bioinformatic data analysis background to join our multidisciplinary team of clinicians, bioinformaticians, computer scientists, and biologists. The postdoc candidate's main tasks will include analysis of genomic, transcriptomic, and DNA methylation data, including somatic mutation and copy-number alteration calling, gene expression, signature and pathway analyses, and multi-omics integration using machine-learning methods.

The position also involves developing and maintaining computational pipelines for genomic and transcriptomic data analysis, including datasets generated from single-cell and spatial omics technologies. In addition, the candidate may contribute to the analysis of large-scale clinical and population-based registry data, applying biostatistical methods to investigate clinically relevant research questions.

The ideal candidate will be passionate about data-driven biomedical research, enjoy working in a collaborative environment, and be eager to contribute to innovative projects at the intersection of cancer biology, genomics, and computational science.

Your profile

To be eligible for employment as a postdoctoral researcher, a PhD or a foreign degree deemed to be equivalent to a Swedish PhD is required. This eligibility requirement must be fulfilled at the latest at the time of the employment decision. Completion of your doctoral degree within the last three years is considered an advantage. If there are special reasons, your degree may have been completed earlier.

Essential requirements:

• A Ph.D. degree in bioinformatics, computational biology, molecular biology, computer science, or an equivalent quantitative area.
• Proficiency in a scripting language like R/Python, as well as the ability to work efficiently in a Linux command-line environment.
• Prior experience with sequencing data (DNA/RNA/methylation etc.) analysis supported by publications. Experience with spatial transcriptomic, single-cell sequencing, multi-omics data integration, and/or computational pathology tools is advantageous.
• Basic knowledge of molecular biology and/or cancer and interest in learning more.
• Excellent interpersonal communication skills (written and verbal English).
• Good data management and documentation skills.

Desirable competencies:

• Experience in biostatistics is a big plus.
• Experience in prospective and/or retrospective analyses of clinical cohort data.
• Experience in oncology research.
• Experience in using relevant AI softwares.
• Experience in genomic databases and cancer data resources, such as TCGA, COSMIC, dbSNP, etc.

What do we offer?

A creative and inspiring environment with wide-ranging expertise and interests. Karolinska Institutet is one of the world's leading medical universities. At Karolinska Institutet, we conduct successful medical research and hold the largest range of medical education in Sweden. At KI, you get to meet researchers working with a wide range of specialisms and methods, giving you ample opportunity to exchange knowledge and experience with the various scientific fields within medicine and health. It is the crossover collaborations, which have pushed KI to where it is today, at the forefront of global research. Several of the people you meet in healthcare are educated at KI. A close relationship with the health care providers is important for creating groundbreaking top quality education and research. Karolinska Institutet is also a state university, which entitles you to several benefits through our collective agreement.

Location: The position is located within the Oncology-Pathology department, mainly at BioClinicum in Solna.

Choose to work at KI – Ten reasons why

Application

An employment application must contain the following documents in English or Swedish:

• PhD certificate
• A complete resumé, including date of the thesis defence, title of the thesis, previous academic positions, academic title, current position, academic distinctions, and committee work
• A complete list of publications
• A summary of current work (no more than one page)

KI applies individual and differentiated salary setting in accordance with our collective agreements RALS and RALS-T

The application is to be submitted through the Varbi recruitment system. At the latest 22^nd September.

The position is for two years with possibility of extension.

Want to make a difference? Join us and contribute to better health for all!

1. Johan Hartman, [email protected]
2. Xinsong Chen, [email protected]

1. Helen Eriksson, OFR, [email protected]
2. Sara Jalali, OFR, [email protected]
3. Robert Lindberg, Seko, [email protected]
4. Per Hydbring, SACO, [email protected]
5. Nick Tobin, SACO, [email protected]