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Focused on medical image analysis
We are a company in the biomedical sector, focused on medical image analysis with the purpose to deliver MRI biomarkers for brain diseases. Are you willing to leave your footprint, making a social impact improving the healthcare with us? If so, we want you on board!
The perfect match is a statistician eager to apply biostatistics to the analysis of medical data. Ideally, someone who can design and conduct statistical analysis of medical data but is passionate about analyzing the data in context, looking for patterns to help make decisions and build cutting edge products.
Someone who is able to understand our methods by extracting all their potential from the results obtained and fitting a seamless match with the clinic requirements.
Plan and execute high quality statistical analysis of large data sets, cleaning, analyzing and interpreting collected data to meet business requirements.
Analyze results for clinical trial experiments and contribute to the Clinical Science Reports (CSR)
Be familiar with Good Clinical Practice, compliance and regulatory environment
Help your team with the planning, analyses and the decision making process.
Support developers to produce pipelines with more relevant biomarkers.
Investigate on new methods for image analysis.
BSc or higher in relevant subject (Biostatistics, Statistics, Bioinformatics, Data Mining, or related discipline) or equivalent experience.
Fluency in data analysis and communication about data, including time series analysis, campaign analysis and data visualization.
Experience in SAS, R or STATA programing
Experience managing medical data (highly valued).
Good verbal and communication skills.
Feel comfortable within the uncertainty.
Pro-active, self-motivated and eager to grow.
Team player and highly communicative.
Experience on clinical trials analyses together with CRO collaborations will be a plus.
Knowledge of medical imaging processing tools and algorithms (highly valued).
Experience treating medical data, and ideally with imaging data (DICOM and NIFTI formats)
Experience in Agile Methodology.
Start-up and challenging environment.
Being part of a growing company where your ideas are very much appreciated.
Work close to an innovative team.
Opportunities of personal and professional development.
Flexible working hours.
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