Research engineer in clinical proteomics

Region Stockholm

Application deadline

March 11, 2022

Research engineer in clinical proteomics

Karolinska University Hospital is one of the Nordic region’s largest university hospitals where care, research and education are important elements in extending and improving people’s lives. Most of Karolinska Institutet’s (KI’s) research takes place in the hospital’s daily work.

About us
The core facility Clinical Proteomics Mass Spectrometry is located at the Science for Life Laboratory in Stockholm. Its task is to help users from Swedish universities and industry with proteomics projects. The facility offers a unique research infrastructure and expertise in mass spectrometry-based proteomics and proteogenomics. With our sensitive methods, we can identify and quantify thousands of different proteins in a sample. The Core Facility works in close collaboration with Janne Lehtiö’s research group, Cancer Proteomics Mass Spectrometry, Department of Oncology-Pathology. We are about 30 in an international group with different backgrounds where we work in an exciting research environment together.

About the position
The responsibilities accompanying this position include sample preparation, bioanalytical work, analysis and reporting of protein/peptide expression, method development, use/optimization of the MS instruments, data analysis and data interpretation. Experiences in method development, data analysis and reporting are important. The role also includes reporting analysis results to users, taking part of undergraduate/postgraduate teaching/training and representing the unit and facilities at national and international meetings and conferences.

The research engineer will be part of a clinical research infrastructure, working closely with project scientists, postdoctoral fellows, PhD-students, undergraduate students, clinicians and external users/customers within academia, hospital and industry.

Important aspects of the job include: 
• Preparation of clinical and in-vitro samples for proteomics
• Experimental analysis of samples by mass spectrometry
• Compiling and analyzing proteomics data
• Continuous contact with customers by email and phone

The work involves a combination of flexible and routine tasks and places a great emphasis on independence, initiative, precision, and planning. The position involves a variety of tasks in a stimulating clinical research environment. Nice and helpful colleagues contribute to a good working environment within the group. 

A large part of the job may be contact with customers/researchers from a wide range of fields, which is an exciting, interesting and instructive part of the work.

We are looking for
We are seeking a highly motivated research engineer to be part of our group. We place great emphasis on personal suitability. To succeed in the role, it is important that the applicant has a personal drive and flexible mind to handle the rapidly developing field of proteomics and the need of custom-based solutions in many projects. The applicant should be responsible, appreciate daily detailed work as well as have the ability to see the big picture.

The applicant should be an effective communicator, have good organizational skills, and be able to prioritize at times when the workload is high. The applicant should be able to collaborate with people of different backgrounds and at different levels (both within the group and with users from various disciplines). 


  • PhD degree in analytical chemistry, biochemistry, biotechnology or related field
  • Work experience of mass spectrometry (MS) as analytical method
  • Extensive experience of laboratory work and to follow SOPs;
  • Experience in analysis of biological samples
  • Practical experience in liquid chromatography mass spectrometry (LC-MS)
  • Experience in MS maintenance;
  • Excellent communication and organizational skills
  • Good english (speaking/writing)


  • Competence/experience in MS-based clinical proteomics research
  • Documented knowledge of data management and work with software
  • Data analysis (analysis of proteomics data)
  • Collaborative experience with hospitals and clinical sample handling
  • Strong interests of working in centralized shared clinical research infrastructures
  • Swedish (speaking/writing)

Last updated: 2022-02-22

Content Responsible: David Gotthold(