Project coordinator - Hiring in process/Finished, not possible to apply

Do you want to contribute to top quality medical research?

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 Clinical Epidemiology Division holds data for CRCBaSe. CRCBaSe is an initiative originating from the Swedish quality register of colorectal cancer (SCRCR), and includes colorectal cancer patients, population-based comparators and relatives. In addition to information from the SCRCR, data is also available from other national registers.  The aim with CRCBaSe is to answer clinical questions and the work will be done in close collaboration with clinicians. In the future, data from large clinical studies will be analyzed together with CRCBaSe. The work during the coming years includes cleaning of data, bioinformatic organization and processes set-up parallel to conducting  cutting edge science.

Your mission

CRCBaSe contains register data on 2.3 million individuals. Your mission will be to assist with linking, and cleaning of data and supporting researchers with data extractions and statistical analyses under supervision. In the future it will be possible to work with the ALASCCA research platform (ARP), which includes data from the 4000+ patients includedin ALASCCA and CITCCA trials with complete and validated genomic profile, RNA and protein expression.

We aim to recruit an independent and motivated person with a great interest in mathematics and programming who is eager to learn more about working with large data bases. The appointed person will be working with a network of statisticians, molecular biologists, physicians and bioinformaticians, as well as to actively participate in national and international collaborative research projects. In this role the candidate will also contribute to forthcoming epidemiological studies by implementing study protocols and statistical analysis plans in collaboration with project biostatisticians.

Your profile

We are searching for an applicant with a master degree in a field related to the position, such as biostatistics, engineering physics or similar where programming, data analysis and statistics is an integral part of the education. Further requirements are:

• Documented training in programming (in for example Python or R)
• Skills in structured query language (SQL)
• Experience with regression analysis and modelling
• Sufficient mathematical background to enable continued education in various topics of specific relevance to the project (e.g., specialist courses in biostatistics or advanced epidemiology)
• 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.
• Fluency in swedish

Experience with the SAS statistical software is a merit
In the assessment of the candidates, we place particular emphasis on interpersonal skills.

What do we offer?

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 better health for all. At Karolinska Institutet, we conduct innovative medical research and provide the largest range of biomedical education in Sweden. Karolinska Institutet is a state university, which entitles employees to several benefits such as extended holiday and a generous occupational pension. Employees also have free access to our modern gym and receive reimbursements for medical care.

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.In this recruitment, you will apply with your CV without a personal letter. Instead, you will answer some questions about why you are applying for the job in the application form. 

Permanent position is initiated by a six months trial period.

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