- Centre / Institution:
- Vall d'Hebron Institute of Research
- Bioinformatics expertise:
- Bioinformatics of Disease and Treatment, Biomedical Informatics, Biostatistics
Fungal infections have a major impact on human health. Fungi infect about 2 billion people
and kill about 1.5 million people each year (greater than malaria or breast cancer).
The human microbiome has been intensively investigated over the last 15 years using meta-omics approach. Conversely, the human mycobiome (fungal microbiome) has been studied.
The aim of the present work is to develop and/or implement bioinformatics and statistical tools and to prepare a sequence database to analyze fungal communities.
Working environment and facilities:
- Research Institute Hospital Vall d'Hebron : http://www.ir.vhebron.net/
- You will work in the dry-lab conducting biostatistical research in several projects. You will be integrated in a young and collaborative environment with very passionate and talented people. You will serve as a connexion between the different teams and stakeholders i.e. you will give sense to the data extracted from microbiologists from the wet-lab, and make interpretations and give recommendations to clinicians.
- You will aid your colleagues, and even take responsibility, in writing your conclusions into academic papers, which eventually will be published in High Impact Journals such as Nature, Lancet, Gut etc. We want to help you build solid foundations on the research method, so you will be assisted by more experienced colleagues.
- You will apply classical statistical techniques such as hypothesis testing, ANOVA, regression, Diff-in-Diff but you will also develop Machine Learning algorithms such as Random Forests, SVM, k-NN, CART. You will have lots of freedom to decide and choose the approach that you consider most appropriate. We have experience in deploying these types of models as we have seen that they can be a very powerful tool for disease prediction.
Salary: According to experience and academic marks
Recent selected references
Desired skills and expertise
-Fluent in English (most of our team are foreigners, thus English is our language)
-BSc in Informatics, Statistics, Mathematics, Econometrics, Quantitative Economics (MSc preferred)
-Theoretical and practical knowledge of classical statistical inference and Machine Learning
-Strong coding experience in R (and Python if possible)
-Passion for health care and willing to learn about the medical field. You don't have to have a bio background but we seek someone motivated to learn.
-Ability to write results in a clear and concise manner.
-Ability to work independently
Contract duration and other benefits
The characteristics of the contract will be determined according to the experience or qualifications of the candidate.
Required information and contact
Name: Chaysavanh Manichanh
Institution: Vall d'Hebron Research Institute