3-year postdoctoral position in statistics and/or bioinformatics

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Organisation
University of Oslo
Locations

Oslo, Norway

Application Deadline
Salary
NOK534 400 - 604 700

Applications are invited for a 3-year postdoctoral position in statistics and/or bioinformatics at the Oslo Centre for Biostatistics and Epidemiology (OCBE), Institute of Basic Medical Sciences, University of Oslo.

The researcher will develop and apply methods in statistics, bioinformatics and/or machine learning to study the deterioration of quality of life of head and neck cancer patient survivors after surgery. The project is part of a Horizon2020 project funded by the European Union, “BD4QoL, Big Data Models and Intelligent tools for Quality of Life monitoring and participatory environment of Head and Neck Cancer survivors”

The project is founded around a large and internationally unique collection of data from several European clinical trials, which the researcher will study retrospectively, and a very exciting prospective clinical trial where a smart-clock based monitoring of some patients will be performed in Italy. The researcher will be responsible for the data management, the bioinformatics and statistical analysis, to contribute important insight to the field, supported by publications in leading scientific journals. Incomplete data, imprecise harmonization across trials, complex interactions, non-linear effects, and explainability of algorithms, represent some of the methodological challenges.

The postdoctoral research fellow will be employed in a 100% 3-year position at OCBE (https://www.med.uio.no/imb/english/research/centres/ocbe/). OCBE has eight professors, five associate professors, fifteen researchers, many post-doctoral fellows and PhD students, making up a group of about 80 scientists. OCBE is internationally recognized, with interests spanning a broad range of areas (including time-to-event models, data integration, causal inference, statistical genomics, Bayesian inference, stochastic simulation algorithms, probabilistic graphical models, machine learning, evolution and population genetics, informative missingness and measurement error models, epidemiological studies of lifestyle and chronic diseases, stochastic models for infectious diseases, high dimensional data and models) and numerous collaborations with leading bio-medical research groups internationally and in Norway.

In the last national research evaluation, OCBE was judged as excellent by an international committee. OCBE has a leading role in the centre of excellence for research-based innovation BigInsight, a consortium of academic, industrial and public partners, with a funding of about 4 mil Euro annually until 2023. Furthermore, OCBE hosts the ERC Advanced Grant of Professor Corander (Scalable inference algorithms for Bayesian evolutionary epidemiology) and several further important projects in the areas of digital life sciences, systems medicine, statistical methods for biobank, health survey and registry data, causal inference and mathematical oncology. Professor Arnoldo Frigessi will have the responsibility for the researcher. Frigessi develops innovative stochastic models and inferential methods to carefully represent fundamental principles, basic dynamics, intricate patterns of dependence and known mechanisms of life science systems, to be understood or predicted.

The researcher will be affiliated also with the University of Oslo centre for bioinformatics that constitutes our hub of bioinformatics and computational biology, with competence spanning from precision medicine through all aspects of genomics, regardless of species and populations, through to protein structure. The centre is led by Professor Eivind Hovig. He has pioneered network approaches to study genetic information in cancer by text mining, and his current research is in reproducible computational research, precision oncology, synergistic drug prediction, heritable cancer genetics and genomics of various cancer types, and whole genome sequencing. The project will benefit from the collaboration with dr. Marissa LeBlanc and a second researcher, in addition to the international partners of BD4QoL.

Qualification Requirements

  • Applicants must hold a PhD degree in statistics, computer science or biostatistics, or other disciplines with documented experience in bioinformatics or statistics. Doctoral dissertation must be submitted for evaluation by the application deadline. Appointment is dependent on the public defence of the doctoral thesis being approved.
  • Experience with genomic data sets is an advantage, but not necessary.
  • Experience with machine learning algorithms is an advantage, but not necessary.
  • Documented programming skills in R, python, MatLab, C, C++ or equivalent are necessary.
  • Fluent oral and written communication skills in English, which is the working language in the project and OCBE.
  • Experience in head and neck cancer research is not expected.

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