Postdoctoral researcher in cancer systems biology

at  Oslo universitetssykehus

Postdoctoral researcher in cancer systems biology
Tero Aittokallio’s group, Department of Cancer Genetics, Institute for Cancer Reserach, The Norwegian Radium Hospital, Oslo University Hospital
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About the position
We have a vacancy for a 2-year postdoctoral researcher position in computational biology and biostatistics for the period 01.07.2024 - 30.06.2026, with a possibility for extension pending on successful review.
The funding comes from the Norwegian Cancer Society in the research group of Prof. Tero Aittokallio at Department of Cancer Genetics, Institute for Cancer Research (https://www.ous-research.no/aittokallio/). The group is also affiliated with University of Oslo, Oslo Centre for Biostatistics and Epidemiology (OCBE), a joint centre with Oslo University Hospital.
Oslo University Hospital is a workplace with great diversity. We believe this is essential to perform the tasks required of us. Therefore, we pursue diversity among our job applicants and encourage everyone to apply regardless of who you are and what background you have.
Key information
Application deadline:
15.04.2024
Employer:

CONTRACT

Percentage of full-time:
100
Webcruiter ID:
4788540311
Start date:
01.07.2024
End date:
30.06.2026
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Work tasks
The research group of Prof. Tero Aittokallio develops computational approaches that combine multi-omics genomic/molecular profiling and clinical information from cancer patients using mathematical and statistical approaches such as machine learning and network modelling. The medical aim is to optimize treatment outcomes for individual patients using maximally predictive models and minimal biomarker signatures.
The group is now seeking a motivated postdoctoral researcher, with strong computational and modelling skills.The postdoc will be working in a multi-disciplinary environment at Oslo University Hospital to develop methods for improved design and mathematical analysis of pre-clinical anticancer monotherapy and combination experiments in vitro, ex vivo and in vivo to predict personalized treatment approaches for cancer patients.
The successful candidate will be employed at the Department of Cancer Genetics, located at the Institute for Cancer Research, and will work in a team of computational biologists in a close collaboration with experimental scientists, medical doctors and lab engineers. The position provides possibilities for networking in academia and industry, supervising PhD students, writing manuscripts, and presenting at conferences.
The position will offer a vantage point in the rapidly developing field of functional precision medicine, with versatile opportunities to learn and become an expert in the field, where there is a growing requirement for data scientists. Our multicultural and multidisciplinary organisation prides itself in a working community that fosters creativity and diversity, and a relaxed workplace with a Nordic style of work-life balance.

Qualifications

• PhD degree in computer science, biostatistics, bioinformatics, biomathematics, statistical physics or other relevant field.
• Confident communication skills in English and good scientific writing and project reporting skills.
• A solid publication track record and a strong background in developing and applying modelling methods.
• Demonstrated expertise in one or several of relevant topics: mechanistic modelling (e.g. PK/PD modelling), ML modelling, evolutionary dynamics, precision oncology.
• Good programming skills (e.g. Python, R) and ability to work with version control tools (e.g. Git).

Personal qualities

• High work capacity and productivity.
• Commitment to meeting deadlines.
• Motivated and solution oriented.
• Multidisciplinary communication skills.
• Able to mentor master and PhD students.

We offer

• An international and dynamic work environment.
• Access to unique and high-quality datasets.
• Flexible working hours and regular supervision.
• Competitive salary and yearly wage agreement.
• Membership of pension fund and insurance.
• Possibility of extension of the position.

Address:
Ullernchausseen 70, 0310 Oslo, Norway
Open directions

Please refer the Job description for details