Karolinska Institutet, MEB

The Department of Medical Epidemiology and Biostatistics (MEB) is among the largest departments of epidemiology in Europe with special focus on increasing our knowledge of the aetiology of different diseases. Our department consists of researchers, doctoral students, biostatisticians, data collectors and database administrators as well as administrative personnel, in total some 250 staff. The department is situated at campus Solna. Further information can be found at ki.se/meb

Research Group

The prostate cancer group at the MEB are now looking for postdoctoral researcher in biostatistics who matches our level of ambition to drastically decrease prostate cancer mortality.

Prostate cancer is the most common cancer and a leading cause of cancer death among men in the Western world. In Sweden, over 10,000 men are diagnosed with prostate cancer every year and 2,500 die of the disease.

The prostate cancer group at MEB is at the international forefront of prostate cancer research. One example is a new prostate cancer test, the STHLM3 test that has been developed by our group (www.sthlm3.se). The group consists of epidemiologists, clinicians, statisticians, molecular biotechnologists, database administrators, and bioinformaticians and provides a vibrant and stimulating working atmosphere. We are developing a personalized prostate cancer management pipeline encompassing screening to metastatic disease, using a combination of genomics, proteomics and imaging. The research is highly trans-disciplinary with collaborations within Sweden and internationally. We conduct multiple world-class clinical trials and data collection efforts, e.g. the ongoing STHLM3-MRI trials to assess the role of magnetic resonance imaging to improve prostate cancer diagnostics.
 

Description of the work

We are currently planning a prospective randomized clinical trial (ProBio) aiming to markedly improve treatment of metastatic prostate cancer patients. ProBio is an innovative phase 2 trial with an outcome adaptive platform design with multiple treatment arms, where each patient will be randomized based on biomarkers assessed using circulating tumor DNA (a liquid biopsy).The candidate postdoc will initially work with the framework of this trial, performing simulations to address crucial questions in relation to the trial’s operating characteristics. The candidate is also expected to maintain the framework during the trial progress. ProBio offers an opportunity to address applied research questions, beyond the statistical challenges of the trial, such as if circulating tumor DNA may replace conventional response assessments based on e.g. imaging. There will also be ample opportunities to drive independent research projects and to engage in other exciting and innovative trials and studies.

The postdoc candidate is also expected to supervise PhD students, absorb necessary knowledge on cancer aetiology and to maintain a high level of statistical/mathematical competence with focus on epidemiology and register based research.

Entry requirements
Qualified to be employed as a postdoctor is one who has obtained a doctorate or has equivalent scientific competence.

The position requires a university degree in mathematics/statistics and a PhD degree with focus on machine learning, statistics, biostatistics, or a closely related field. The ideal applicant should be experienced in methodology development and have a strong interest in applications. Experience in the design and analysis of clinical trials and/or epidemiological studies, from working with register-based data, and interpretational skills for presenting results in scientific journals are strong merits. Further, experience from applications of statistics or machine learning methods in medicine and/or epidemiology are also considered strong merits, together with experience from cross-disciplinary research.

Proven skills in programming, preferably in R, are required (additional experience from SAS or STATA is considered a plus). The applicant should also be able to manipulate complex datasets. Written and spoken fluency in English is essential.

Personal characteristics

The applicant should be highly collegial, and be able to work well in a cross-disciplinary team as well as having the ability to work independently. Further, the applicant should possess exceptional organizational skills, know how to successfully multitask, and should be able to describe past examples of having developed structured approaches to solving unanticipated and complex problems. Excellent oral and written communication skills in English are required, along with experience with writing and publishing research articles in English.

The applicant should have excellent analytical skills, possess curiosity and creativity, and have capacity to take responsibility for research projects. Further, the applicant should have the skill set to be involved in supervision of PhD students, including the necessary communication skills.

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

  1. A complete curriculum vitae, including date of the thesis defence, title of the thesis, previous academic positions, academic title, current position, academic distinctions, and committee work
  2. A complete list of publications
  3. A summary of current work (no more than one page)
  4. Verifications for crediting of illness, military service, work for labour unions or student organisations, parental leave or similar circumstances

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

Type of employment Visstidsanställning längre än 6 månader
Contract type Full time
Number of positions 1
Working hours 100%
City Stockholm
County Stockholms län
Country Sweden
Reference number 2-1094/2018
Contact
  • Lina Werner, HR, 0852400000
  • Martin Eklund, Assistant Professor, martin.eklund@ki.se
Union representative
  • Ann Almqvist, OFR, 08-524 861 99
  • Ulrika Zagai, SACO, 08--524 871 84, ulrika.zagai@ki.se
  • Henry Wölling, SEKO, henry.wolling@ki.se
Published 21.Feb.2018
Last application date 14.Mar.2018 11:59 PM CET

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