Postdoctoral researcher in statistical bioinformatics

The School of Medical Sciences is seeking a postdoctoral researcher in Statistical Bioinformatics, with application in biomedicine and psychology, for a fixed-term appointment (2 years).

Subject area
The position is in Medical Sciences, with special focus on Statistical Bioinformatics.

Background
For more information see the full advertisement at our career site. 

Duties and responsibilities
The appointment as a postdoctoral researcher is intended to enable persons who have recently been awarded their doctoral degree, to consolidate and develop primarily their research/artistic skills.

The applicant will be responsible for developing and investigating statistical bioinformatics models based on experimental data available within the various collaborating research environments relevant for a variety of mechanisms in inflammation research as well as factors associated with a variety of pain phenotypes. The applicant will engage in tight discussions for hypothesis development, model specification and adaptation, as well as generation of model predictions, in close collaboration with experimentally working biomedical researchers and clinicians. 

Eligibility
Eligible for the appointment as postdoctoral researcher are applicants holding a doctoral degree in (bio)physics, computer science, applied statistics, or in related subject areas, with close relation to medical or life sciences and experience in application and development of machine learning algorithms. The doctoral degree should have been awarded no more than three years prior to the application deadline. Candidates who have obtained their doctoral degree prior to that may however also be considered if special grounds exist (leave of absence due to illness, parental leave, clinical duties, an elected position in a trade union, or other similar circumstances

Assessment criteria
General assessment criteria include excellent interpersonal skills and an ability to cooperate as well as the ability and suitability otherwise required to perform the duties well. Particular importance shall be attached to the qualities enabling the candidate to contribute to the future development of both research and education. A demonstrated ability and desire to pursue an academic career is also of importance.

In addition, experience of statistical modelling and data analysis is crucial, preferably with application within the (bio)medical sciences.  Previous research within mixed model analysis in the life sciences is preferred. Since the project will be conducted in close collaborations with other professions and non-academic partners, a cooperative mindset is of great importance. The applicant should also be highly organized, able to meet deadlines, have a clear sense of responsibility and be goal oriented.

Information
The position is a full-time position for a fixed term of two years. The salary depends on the successful candidate’s qualifications and experience.

For more information, please contact Prof. Dirk Repsilber, dirk.repsilber@oru.se, Prof. Hugo Hesser,  Hugo.Hesser@oru.se or Prof. Allan Sirsjö, allan. sirsjo@oru.se, or Prof. Robert Brummer, robert.brummer@oru.se.

Örebro University actively pursues an equal work environment and values the qualities that diversity adds to our operations.

Assessment criteria/Application
The application is made online. Click the button “Apply” to begin the application procedure.

For the application to be complete, the following electronic documents must be included:


• A covering letter, outlining how you believe you can contribute to the continued development of Örebro University
• CV with a relevant description of your overall qualifications and experience
• An account of research/artistic qualifications
• Copies of relevant course/degree certificates and references verifying eligibility and criteria met
• Scientific publications for consideration (maximum of 10) (Not only publication list.)

Only documents written in Swedish, English, Norwegian or Danish can be reviewed.

The application deadline is September 30 2020. We look forward to receiving your application!

We decline any contact with advertisers or recruitment agencies in the recruitment process.

As directed by the National Archives of Sweden (Riksarkivet), Örebro University is required to deposit one file copy of the application documents, excluding publications, for a period of two years after the appointment decision has gained legal force.