ResearcherPostdoc fellow in machine learning and bioinformatics for cancer immunotherapy
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Posted on:
30+ days ago
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1 Vacancy
Job Summary
About the position
Full-time position as postdoc in machine learning and bioinformatics for cancer immunotherapy at Oslo University Hospital
We are seeking a highly skilled and motivated postdoc with expertise in bioinformatics machine learning and/or statistics for working on development of personalised cancer immunotherapy. This postdoc position is available for 2 years from December 1st 2025 with possibility for extension in the research group of Professor Jon Amund Kyte at Dept. of Cancer Immunology Institute for Cancer Research Oslo University Hospital (OUS) Radiumhospitalet. Dr. Kyte is also Head of Department for Clinical Cancer Research ( from where the below mentioned clinical trials were conducted. OUS is Norways largest hospital and medical research institution and is accredited as Comprehensive Cancer Center by the Organisation of European Cancer Institutes. OUS Radiumhospitalet is a dedicated cancer center with a particularly strong research profile in cancer immunotherapy. We have a proven record in bringing novel immunotherapy ideas from preclinical development into clinical studies.
Kyte group aims to develop improved cancer treatment based on two strategies for immunotherapy: 1) Combining immune checkpoint inhibitors with immunogenic chemotherapy or radiotherapy. 2) Development of tumor-targeting multi-functional chimeric antigen receptors (CARs) for T cell therapy. We have in 2022-2023 completed three major clinical immunotherapy trials ALICE (Nature Medicine 2022 doi: 10.1038/s416-1) ICON (J Immunother Cancer 2024 doi: 10.1136/jitc-) and REPORT (NCT). These trials have pioneered the strategy of combining selected chemo/radio-therapy hypothesised to induce immunological cell death with immune checkpoint blockade. We have collected biopsies PBMCs feces and other samples from the trial patients. Moreover we have access to large biobanks from other studies with reliable clinical follow-up. Based on this material we have started translational studies aimed at identifying biomarkers and exploring mechanisms of response and resistance to treatment.
OsloUniversity Hospital is a workplace with great diversity. We believe this iscrucial to solving our tasks in the best possible way. We want this diversityto be reflected among the applicants for our positions and encourage allqualified candidates regardless of background to apply
Key information
Job description
The successful applicant will work on the following project: Development of personalised cancer immunotherapy using immune checkpoint inhibitors. The project is based on material and data already collected in the above mentioned clinical trials and focus on biomarkers of response stratification of patients for personalised therapy neoantigen prediction and discovery of mechanisms for tumor escape. We will employ machine learning and other bioinformatics tools to analyse clinical and biological data obtained from the trial patients. Through access to repeated tumor biopsies PBMCs and plasma/serum obtained before during and after experimental therapy we will analyse tumor/immune co-evolution induced by therapy and correlate this to the clinical response and patient survival. The biobanking in the clinical trials has been completed and there are available data obtained through DNA/RNA tumor sequencing and a variety of advanced immunology technologies including Hyperion Nanostring CyTOF Luminex and 24-color-flow cytometry. The postdoc will work with these data sets as well as with large data sets publicly available or available from collaborators.
The postdoc will work in team with other members of the Kyte group (Dept. of Cancer Immunology) as well as with a co-localised bioinformatics research group and with clinical oncologists at the Department for Clinical Cancer Research. Kyte Group has 14 members with research background in immunology bioinformatics and medicine. The postdoc will also collaborate with project partners at Karolinska Institutet (Stockholm Sweden) and the Technical University of Denmark (DTU; Copenhagen Denmark).Position Requirements:
We are looking for a candidate that is highly motivated has a relevant PhD degree and a strong research background in bioinformatics/machine learning/biostatistics. The candidate should have experience in analysis of large datasets and a good understanding of biology as well as bioinformatics and statistics. Knowledge in genomics immunology pathology and cancer research will be important assets. The candidate must also have a good ability to collaborate and excellent written and oral communication skills (English).
We offer
- Interesting and challenging research projects with huge potential for clinical application
- A productive and motivating research environment
- Full-time two-year position with possibility for extension
- Salary according to the OUS salary scale
- Favorable pension arrangements Attractive welfare arrangements
The application must include:
- The application letter (including a summary of applicants scientific work and interestand describing how she/he fits the description of the person we seek)
- CV (summarizing education positions and other qualifying activity)
- Copies of educational certificates with grades letters of recommendation
- Names email and telephone number of 3 referees (describe relation to applicant)
- A complete list of publications
Contact information:
Professor Jon Amund Kyte M.D. PhD Department of Cancer Immunology Institute for Cancer Research Oslo University Hospital Radiumhospitalet Mail boxOslo Norway
Phone: (47)
email:
Address: Ullernchausseen 70 0379 Oslo
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- Teacher Coaching
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- Classroom Experience
- Systems Engineering
- Research Experience
- Teaching
- Grant Writing
- Leadership Experience
- Mentoring
- Public Speaking
- Writing Skills
About Company
Oslo University Hospital is a highly specialized hospital in charge of extensive regional and local hospital assignments. As Scandinavia’s largest hospital, we carry out more than 1.2 million patient treatments each year. The hospital has a nationwide responsibility for a number of na ... View more
