Do you want to contribute to top quality medical research?
At the Clinical Epidemiology Division, one of our six research groups work with clinical epidemiological research on rheumatoid arthritis (RA) and other chronic inflammatory diseases, in close collaboration with translational and clinical researchers. Our work focuses on models for personalized treatment of RA. We use a combination of register-, clinical, genetic, serological and lifestyle data in advanced computational models. We are now recruiting a postdoc to our team to work with patient stratification and prediction models of clinical outcomes in RA.
The candidate will work within our international collaborations with a focus on developing models for precision medicine in RA. The candidate will use our existing data collections and apply machine learning (ML) and other modelling techniques in a multimodal approach with the aim to improve disease outcomes in RA.
The successful candidate has a background in, and previous experience with, computationally intense methods/ML/prediction modeling, through applications during a PhD or MSc. Previous work experience with medical or biological data is a requirement, so is experience of real-world data, data management, and epidemiological studies. You have formal training in, and experience of, statistical analyses.
The candidate is proficient in programming languages such as R, SAS and Python, and has experience of parallelization of code.
The successful candidate enjoys working in an interdisciplinary team, is thorough and organized, and structures and documents well. Within the department and KI, you will be interacting also with clinical and translational RA researchers. As the candidate will be working as part of a team with several international connections, emphasis is put on communication skills and personal suitability. Fluency in English (oral and written) is a requirement.
To be eligible for employment as a postdoctor a doctoral degree or a foreign degree deemed to be equivalent to a doctoral degree is required. This eligibility requirement must be fulfilled at the latest at the time of the employment decision. It is considered as an advantage if you have completed your doctoral degree within the last three years, if there are special reasons, your degree may have been completed earlier.
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.
The position is located within the Department of Medicine, Solna . The department consists of twelve divisions and each division consists of several research groups. The position is located within the research groupChronic inflammatory Diseases at the Clinical Epidemiology Division. Our research group contains well over 30 people (PhD students, postdocs, senior researchers, clinician researchers, and statisticians) with various backgrounds, with a common research interest, namely to study inflammatory diseases through register and clinical data. You find more information on our website: https://ki.se/en/meds/research-group-johan-askling.
— [Video about a Karolinska Institutet, how we work towards “a better health for all”] —
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)
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
View or Apply
To help us track our recruitment effort, please indicate in your email – cover/motivation letter where (nearmejobs.eu) you saw this job posting.