Research assistant to the Clinical Epidemiology Division - Hiring in process/Finished, not possible to apply

Do you want to contribute to better health for all?

The Department of Medicine, Solna, is one of the largest departments at Karolinska Institutet and is organized in several research divisions. The Clinical Epidemiology Division is home to six research groups that conduct research in population-based epidemiology through the use of register-based health care data, often supplemented with information from medical records, biological samples and surveys, to address questions that aim to improve patient health care and clinical practice. The position is placed within the cancer epidemiology research group at the Division and involves work in an ongoing prospective observational study on Lymphoma, The BioLymph Study, that is performed in collaboration with the Karolinska University Hospital.

The BioLymph Study includes newly diagnosed lymphoma patients in Stockholm with the aim to increase knowledge and implementation of precision diagnostics/medicine biomarkers approaches across mature B- and T-cell lymphoma subtypes. The study uses broad targeted NGS-based gene panels on tumor tissue and plasma to determine diagnostic, prognostic and predictive biomarkers at diagnosis and during follow-up. In the long-term, the study will contribute to important insights into identification of high-risk patients, development and application of prognostic models, assessment of MRD and development of new follow-up routines in lymphoma including molecular tumor boards supporting clinical decision-making.

Your mission

We aim to recruit an independent and motivated candidate with interest in health informatics, programming and organization of data for research. The appointed person will be part of a network of physicians, bioinformaticians, clinical geneticists, biostatisticians and contribute to forthcoming data analysis in the BioLymph study. The main responsibilities are as below:

• Support the project with implementing data management workflows.
• Help our bioinformatics team with tasks related to streamline data transfer, pre-processing and quality checks of bioinformatic and clinical data.
• Develop necessary code base to automate the process of structuring and organizing bioinformatic and clinical data.

Your profile

We are searching for an applicant with a master degree in health informatics or a related field with prior experience from programming and handling of medical data in research projects. Formal requirements are:

• Experience in Python programming
• Experience working with relational databases such PostgreSQL or SQLite
• Knowledge of Linux/Mac and/or bash scripting
• Experience of collaborating using GitHub
• Experience of data quality control and performing analysis (for example applying algorithms used in supervised and unsupervised machine learning)
• Excellent communication skills and the ability to work both independently and in collaboration with colleagues in very diverse fields, and the ability to document work.
• Day-to-day work will be in English

Excellent knowledge of spoken and written scientific English and strong presentation skills are essential. In the assessment of the candidates, we place particular emphasis on interpersonal skills.

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. Karolinska Institutet is also a state university, which entitles you to several good benefits through our collective agreement. And you get to practice freely in our modern wellness facilities, where trained staff are on site.

Location

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 group Karin  Ekström-Smedby.

Group webpage: https://ki.se/en/meds/kep-cancer-epidemiology-group

Application

The application is to be submitted through the Varbi recruitment system and should consist of CV and a personal letter. 

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