PhD Research Fellow in Cancer Molecular Genomics and Imaging

About Company
University of Oslo
Oslo
Job Info
Job Status: Open
No of Vacancies: 1
Date Posted: November 14, 2017
Expiry Date: December 07, 2017
Job Type: Freelance
Job Level: Any
Years of Experience: 2
Salary Info
Salary Type: Min-Max
Salary: NOK436 900-NOK490 900
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Jobbnorge ID: 144239
Internal ID: 2017/12558
Applications on this job are registered in an electronic form on jobbnorge.no
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A full time three-year position as PhD Research Fellow is available at the Institute for Clinical Medicine (KLINMED). The position is located at the Department of Cancer Genetics, Institute for Cancer Research OUS and is funded by UiO:Life Science and KLINMED. The purpose of the fellowship is research training leading to the successful completion of a PhD degree. The fellowship requires admission to the research training program at the Faculty of Medicine at the University of Oslo. The admission must be approved within three months from starting the grant. The PhD in Norway has limited course work, focusing on producing research papers of high quality, which are expected to be published or submitted before the PhD thesis is defended. Ability to visualize, analyze and integrate imaging and molecular experimental data will be developed. This position is part of a substantial investment in the computational life sciences by the University of Oslo and the Oslo University Hospital, through the programme UiO:Life Science. In particular, this position is part of the UiO: Life Science so called convergence environment PERCATHE, Personalised Cancer Therapy, see http://www.uio.no/english/research/strategic-research-areas/life-science/research/convergence-environments/percathe/   The programme PERCATHE will develop new, powerful and cutting-edge methods to build an innovative and practicable pipeline for individualised precision treatment of cancer to provide individual cancer patients with advanced disease with the best personalised cure in the future. Differently from other approaches, which aim for a fine stratification of patients, PERCATHE’s goal is to provide (i) drug synergy predictions based on genomic profile of patients, (ii) mathematical models of cancer multiscale processes and (iii) patient based inference of cancer characterising parameters, exploiting medical imaging and genomics. (iv) test the ex vivo drug sensitivity of cancer patients’ cells. Focus is on breast and lung cancers where PERCATHE has strong clinical collaborators.

Job description

The project will establish a clinical pipeline for individualized precision treatment of cancer that will take into account individual variability in genetic profiles, transcriptional activity, proteome, microenvironment, macroscopic features, clinical condition and life expectancy. Analysis will include 3D quantitative biomarkers of underlying tumor microenvironment obtained from MRI and PET. Output parameters from the image analysis will together with molecular data be essential input to the modelling activity in the PERCATHE-project. The appointed candidate will have full operational responsibility for her/his research within PERCATHE program, with supervision from leading experts in molecular imaging, genomics and clinical cancer research. He/she will be responsible to:
  • extract histological, physiologic, pharmacokinetic and pharmacodynamics characteristics of solid tumors from various types of medical images, including MRI and PET, of cancer patients
  • learn, apply existing and develop new analytical pipelines for identifying genomic markers which influence individual parameters measurable through images
  • identify associations between imaging data and –omics data in order to develop algorithms for personalized cancer therapy
  • develop experimental models to validate the estimated algorithms on the basis of extensive experiments in cell lines and animal models to assess how different molecular and histological features are reflected in the images
  She/he will contribute enthusiastically to the collaborative research project, with the aim of producing best science with impact. Establish and strengthen collaboration in a multidisciplinary research setting to develop and validate predictive models Working language is English.

Qualification requirements

  Candidates with a Master’s degree within physics, mathematics, molecular medicine or other life sciences are encouraged to apply. Candidates to the position will have some experience and/or clear potentials to initiate, develop and manage the scientific project. Candidates must demonstrate team spirit in developing their research, with strong interpersonal skills. Experience with some programming languages (Matlab, Python, R, C++) is necessary, while knowledge of image processing and quantification software is an advantage. An excellent and enthusiastic scientist is sought with emphasis on:
  • Strong motivation.
  • High working capacity.
  • Excellent collaboration skills as well as ability to work independently.
  • Interest in solving mathematical and biological problems.
  • Positive attitude and goal oriented.
  • Good communication skills, with a high level of writing and oral English language
  • Experiences with clinical MRI and/or programming are preferred.
A documented previous expertise and genuine interest and/or experience in personalised medicine are advantageous. Applicants must show promises to become leading scientists and to promote a collaborative research environment across disciplines.

We offer

  • Salary NOK 436 900 – NOK 490 900 per annum depending on qualifications (position code 1017)
  • Dedicated supervision on a highly relevant research project
  • Access to state-of-the-art imaging equipment and genomic data
  • A position in a highly skilled, multi-disciplinary and multi-cultural environment where you are encouraged to develop your skills and share your knowledge with your colleagues
  • Competitive benefits and focus on work-life balance
  • Membership within the Norwegian public service fund, 2 % pension deductions, group and accident insurance
Starting date 01.01.2018.

How to apply

The application with attachments must be delivered in our electronic recruiting system, please follow the link “apply for this job”. Foreign applicants are advised to attach an explanation of their University's grading system. Please note that all documents should be in English (or a Scandinavian language). In assessing the applications, special emphasis will be placed on the documented, academic qualifications, as well as the candidate's motivation and personal suitability. Interviews with the best qualified candidates will be arranged. It is expected that the successful candidate will be able to complete the project in the course of the period of employment.

Requirements for the application, preferable as PDF-files

  • Cover letter (statement of motivation and research interests)
  • CV (summarizing education, positions, and academic work and scientific publications)
  • A list of publications if applicable
  • List of referees (previous teachers or supervisors)
  • Other qualifications and documentation

Formal regulations

Please see the guidelines and regulations for appointments to Research Fellowships at the University of Oslo. No one can be appointed for more than one specified period at the same institution. According to the Norwegian Freedom and Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure. The University of Oslo has an agreement for all employees, aiming to secure rights to research results a.o. The University of Oslo aims to achieve a balanced gender composition in the workforce and to recruit people with ethnic minority backgrounds.

Contact persons:

Informal enquires can be adressed to Professor Vessela Kristensen, v.n.kristensen@medisin.uio.no, Arnoldo Frigessi, frigessi@medisin.uio.no or any other senior member of the PERCATHE programme. Questions regarding the electronic application form can be adressed to Human Resources Adviser Thoril Kristiansen, thoril.kristiansen@medisin.uio.no