Regional Research Support (FST) is part of the Oslo Hospital Services division at Oslo University Hospital. The unit delivers services and advice to research groups and employees at Oslo University Hospital and other hospitals that are part of the South-Eastern Norway Regional Health Authority. FST consist of the following 5 departments; Administrative Research Support, Oslo Center for Biostatistics & Epidemiology, Clinical Trial Unit, Biobank and Health Registry Support and Comparative Medicine. FST has approximately 130 employees and collaborates closely with a broad range of academic areas and dicliplines within the University of Oslo.

The Oslo Centre for Biostatistics and Epidemiology (OCBE) is a joint department of Oslo University Hospital (OUH) and University of Oslo (UiO). OCBE has expanded considerably in recent years, becoming one of Europe's most active groups in the field of biostatistics and epidemiology. Currently, OCBE includes thirteen tenured professors and associate professors, eighteen tenured researchers, and many postdoctoral fellows, PhD students and visiting scientists, making up a group of over 80 researchers. OCBE is internationally recognized, with interests spanning a broad range of areas and collaborates with numerous leading bio-medical research groups in Norway and internationally. OCBE has acquired major research funding from the Norwegian Research Council, the European Union, the Nordic Research Council, the Norwegian Cancer Society and other agencies. OCBE has a leading role in the Centre of Excellence Integreat - The Norwegian centre for knowledge-driven machine learning. In addition to research, OCBE provides an extensive advisory service to biomedical researchers at UiO, OUH and other hospitals in the South-Eastern Norway Regional Health Authority (HSØ). OCBE is also responsible for the teaching of biostatistical subjects in the professional studies in medicine, in the PhD training program at the Medical Faculty at UiO and further education of research staff at OUH and HSØ. 

Start date: Immediate hire

Oslo universitetssykehus er en arbeidsplass med stort mangfold. Det mener vi er helt avgjørende for å løse de oppgavene som kreves av oss. Vi ønsker derfor at dette mangfoldet skal gjenspeiles blant søkerne til våre stillinger og oppfordrer alle til å søke uavhengig av hvem du er og hvilken bakgrunn du har.
 

Kvalifikasjoner:

• PhD in biostatistics, statistics, epidemiology, mathematics, computer science or equivalent with a documented knowledge in statistics beyond basic level
• Excellent skills in application of methods in statistics, bioinformatics and machine learning
• Experience with data from multiple data sources, big datasets and omics data
• Experience with data management, harmonisation, and handling of missing data
• Experience with sensitive data
• Excellent skills in statistical programming in R or other comparable programming languages
• Commitment and experience with working collaboratively and effectively with researchers of other disciplines, including both with medical doctors and computer scientists
• Experience in student supervision and epidemiological/statistical advising to clinicians
• Experience with presenting at international conferences
• Good communication skills, fluency in English (written and oral). English is the working language at OCBE. Applicants, who are not competent in Norwegian, Swedish or Danish, must acquire such competence within three years subsequent to their appointment

Personlige egenskaper:

It is important that you:

• have the ability to collaborate across different professional environments
• thrives in working in a large and complex organization
• have the ability to work independently and efficiently
  
• have excellence in team work and strong interpersonal skills
  
• have engagement, responsibility and positive attitude towards the scientific community

Vi tilbyr:

• A workplace characterized by trust, openness and respect
• A safe workplace with good colleague support
  
• A journey towards a new and modern hospital
  
• As a new employee of OUS, you will be part of a welcome program
• You become part of an important social mission
• A unique department with many opportunities to develop research themes at the forefront of modern biostatistics and epidemiology
  
• A friendly, professional and stimulating international working environment
  
• Access to a network of top-level national and international collaborators
  
• Career development based on research competence and experience
  
• A reliable pension agreement, full health insurance and very attractive welfare benefits of the Norwegian state
  
• Oslo’s family-friendly environment with its rich opportunities for culture and outdoor activities
• Salary is determined individually, depending on qualifications and experience

Evaluation of the application
In assessing applications, particular emphasis will be placed upon the academic and personal abilities of the candidate. Interviews with selected candidates will be arranged via video conference or (preferably) in person.
 
The application must include:

• CV (summarizing education, positions, academic and professional work, teaching/advising and other relevant activities)
• A list of all scientific publications, and a brief description of the four-five most important ones, incl. the candidate’s contributions and why they are important
• Application letter including the personal motivation for this position, including a statement about past and present research interests, specific motivation for epidemiological/statistical advising and collaboration with bio-medical researchers, and other relevant interests and experiences
• Names and contact details for at least three references (name, relation to candidate, e-mail and telephone number)
• Be written in English or in Norwegian
• Inclusion and diversity are a strength. OUH has a personnel policy goal of achieving a balanced gender composition and recruiting people with a migration background. Furthermore, it is important for us that our employees represent different competencies, professional combinations, life experiences and perspectives