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Postdoctoral Fellow in Computational Biology and Systems Medicine
Universitetet i Oslo
The University of Oslo is Norway’s oldest and highest ranked educational and research institution, with 28 000 students and 7 500 employees. With its broad range of academic disciplines and internationally recognised research communities, UiO is an important contributor to society.
Centre for Molecular Medicine Norway (NCMM) was established in 2008 and is the Norwegian node in the Nordic EMBL Partnership for Molecular Medicine. NCMM is a joint venture between the University of Oslo, Health Region South-East and the Research Council of Norway. From 2017 NCMM is merged with the Biotechnology Centre of Oslo and now has altogether 11 research groups. The overall objective of NCMM is to conduct cutting edge research in molecular medicine and biotechnology as well as facilitate translation of discoveries in basic medical research into clinical practice.
A 3-year postdoctoral position is available in the Computational Biology and Systems Medicine group led by Marieke Kuijjer at the Centre for Molecular Medicine Norway (NCMM), Faculty of Medicine, University of Oslo, Nordic EMBL partner (see here for more information). The position is part of the recently funded project "Precision medicine for treatment stratification of metastatic breast cancer" from the Krafttak mot Kreft campaign, Norwegian Cancer Society. The ideal start date is in winter/spring 2024, but we are flexible and this can be discussed.
The group was established in 2018 and focuses on using computational approaches to understand the molecular mechanisms that drive cancer development, progression, and heterogeneity. The group's driving hypothesis is that the complex clinical phenotypes we observe in cancer cannot be adequately defined by individual layers of molecular data. Instead, we must consider the underlying network of interactions between the different biological components that can drive cancer phenotypes. To do so, the group develops computational approaches that place genomic data into the context of large-scale, genome-wide regulatory networks, as well as approaches to analyze such networks for individual cancer patients.
Amongst others, our current projects aim at developing new computational methods and tools for (1) modeling enhancer-promoter interactions, (2) integration of multi-modal single cell data using deep learning, (3) fine-tuned analysis of genome-wide regulatory networks, (4) integration of patient-specific regulatory networks with multi-omic data, (5) modeling networks based on single cell and spatial transcriptomic data. See also here for more information.
The project aims to develop and use large-scale, genome-wide regulatory network modeling and analyses approaches to obtain a detailed resolution of the regulatory disruptions involved in breast cancer metastasis. The selected candidate's role will be to model gene regulatory networks for individual metastatic breast cancer samples and their primary tumors-of-origin, both on bulk and single-cell data, from publicly available resources as well as in-house data generated through the project. The candidate will apply paired network analysis approaches to uncover breast cancer metastasis-specific regulatory programs and potential subtypes in metastatic tumor cells. The candidate will closely work with other researchers in the group to implement newly developed network analysis methods. There will also be an opportunity to develop new approaches for genomic network analysis.
We seek a highly motivated candidate with a track record of computational analysis of high-throughput genomics data. The candidate should be excited about applying computational tools to answer questions in systems medicine, with a focus on breast cancer. The ideal candidate is collaborative and creative, has strong programming skills dedicated to the analysis of large-scale genomics data, and has a strong publication record. Experience with analysis of large-scale genomic data sets is a requirement for this position. Experience with genomic data integration, biological network analysis, and/or gene regulation is desirable, but not required for this position. A background in (breast) cancer research is an advantage. The position is open to applicants with a PhD in computational biology, bioinformatics, biostatistics, cancer genomics, network science, or related fields.
The appointment is a fulltime position and is made for a period of three years with possible extension depending on future funding.
- PhD degree in computational biology, bioinformatics, biostatistics, cancer genomics, network science, or a related field. Applicants with a PhD background in biology or (bio)medicine are welcome to apply but should have documented programming skills
- Strong publication record (including 1st authorship)
- Proficiency in programming (such as R, Python, MATLAB, Bash)
- Experience with analysis of high-throughput genomics data
- Knowledge in gene regulation, (breast) cancer, and/or network biology is considered an advantage
- Experience with high performance computing is desirable
- Professional proficiency in English
- Willingness to work in a team environment, sharing skills and ideas, and collaborating on projects
- We offer a salary of NOK 575 400 - 667 700 per year depending on the candidate's qualifications in position as postdoctoral fellow (position code 1352)
- A professional, stimulating working environment
- Attractive welfare benefits and a generous pension agreement, in addition to Oslo’s family-friendly environment with its rich opportunities for culture and outdoor activities
How to apply
The application must include
(1) A cover letter, stating your motivation, scientific background, and research interests
(2) A detailed CV with a list of publications
(3) 2-3 references (name, institution, e-mail, telephone number, and relation to the candidate)
These should be uploaded in .pdf format. Please submit your application through the web-based recruitment system linked in the announcement. While the recruitment system includes a basic CV, we ask candidates to also include a separate, detailed CV in .pdf format with their application. Applications without a cover letter and/or detailed CV will be rejected.
In assessing the applications, special emphasis will be placed on the documented, academic qualifications, the project description (whenever this is required in the call for applicants), and the quality of the project as well as the candidates 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.
Please see the guidelines and regulations for appointments to Postdoctoral fellowships at the University of Oslo.
No one can be appointed for more than one Postdoctoral Fellow period at the University of Oslo.
According to the Norwegian Freedom of 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.
Inclusion and diversity are a strength. The University of Oslo has a personnel policy objective of achieving a balanced gender composition. Furthermore, we want employees with diverse professional expertise, life experience and perspectives.
If there are qualified applicants with disabilities, employment gaps or immigrant background, we will invite at least one applicant from each of these categories to an interview.
Inquiries about the position can be directed to Marieke Kuijjer.
For questions relating to the administrative aspects of the application, please contact Nina Modahl.
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