Postdoc in Proteomics – Proteome analysis of breast cancer clinical cohorts

Do you want to contribute to top quality medical research?

At the Department of Oncology-Pathology basic, translational and clinical research and educational activities related to cancer is carried out. Approximately 300 people from over 40 nations are currently working at the department. About 30 research groups with various cancer research profiles are involved and we have around 110 PhD students. The Department of Oncology-Pathology is responsible for undergraduate courses in Pathology, Oncology and Forensic Medicine for medical students, as well as for Tumor biology courses for biomedicine students and Pathology courses for opticians.

Your mission

We seek a highly motivated postdoc in proteomics, interested in addressing clinical research questions by using proteomics methodologies. The postdoc will generate mass spectrometry-based proteomics data of clinical cohorts to obtain biological understanding of cancer and identifying biomarkers. The position requires solid expertise in proteomics, communication skills and willingness to work in a team environment. The current position offers great possibility for innovative research combining proteomics and other omics data, together with a dedicated group of scientists.

Precision medicine refers to the tailoring of medical treatment to the individual characteristics of each patient. We are looking for a passionate postdoc interested in the concept of precision medicine using mass spectrometry-based proteomics. The work will span from generation to analysis of clinical mass spectrometry-based proteomics data, with the aim to define and understand the biology behind different breast tumor subgroups, how they relate to clinical outcome, and how this information can be used to guide therapy decisions.

The position will be placed in the Cancer proteomics Mass spectrometry research group headed by Professor Janne Lehtiö at Science for Life Laboratory (SciLifeLab). The Lehtiö group is a translational group aiming to improve cancer treatment using multi-omics tumor data analysis. The group members are from various disciplines working as a team to study genes and proteins in the context of biological networks, understand how tumor molecular changes impact the proteome and discover new disease biomarkers to be exploited therapeutically. Scientists and engineers in our group work closely together using a variety of technologies to generate novel knowledge about the biology of the disease and implement tools to support the clinical decision making in the oncology setting. The position is funded by and will involve collaboration within the RESCUER consortium, which consists of fifteen organizations from ten different countries.

SciLifeLab is a national infrastructure and research center in technology driven life sciences and Karolinska Institutet is one of the four founding universities for SciLifeLab. We offer a very stimulating and diverse work in a team of very motivated co-workers with expertise in cutting-edge technology.

Your profile

To be eligible for the postdoctoral position, the person must have obtained a doctorate or a foreign degree deemed to be equivalent to a doctorate. Applicants who have not completed a doctorate at the end of the application period may also apply, provided that all requirements for a completed degree are met before the (intended) start date of the postdoctoral education. The head of the department determines whether their previous training and scholarly qualifications correspond to a Swedish doctorate or higher.

Qualifications

PhD in biology, chemistry, medicine, or another relevant field.
Documented experience in generating and analyzing mass spectrometry-based proteomics data.
Working experience in large-scale omics data analysis, integration, and visualization.
Ability to interpret omics data in a biological context
Knowledge in statistical methods
Understanding of cell- and molecular wet-lab experimental methods.
Excellent communications skills
Fluent in English language

Additional merits

Knowledge and working experience of breast cancer
Knowledge of cancer biology and current translational cancer research
Programming experience in: Python and/or R

Since the position involves close interaction with several researchers, emphasis is placed on personal skills such as:

Very good collaborative skills
Excellent communication skills and analytical skills
Curious and eager to solve biological questions

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. Our vision is to pursue the development of knowledge about life and to promote a better health for all. 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. Karolinska Institutet is also a state university, which entitles you to several benefits through our collective agreement.

Location: SciLifeLab, Solna

Application

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

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)

Welcome to apply at the latest August 17.

The application is to be submitted through the Varbi recruitment system.

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