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Junior Data Scientist/bioinformatician
2 settimane fa
Località: Rozzano, IT, 20089
We are looking for one highly motivated Bioinformatician/Data scientist with expertise in bioinformatics, machine and deep learning related areas to join our interdisciplinary group, as independent researcher.
The AI Center of Humanitas is focused in research in the field of Artificial Intelligence applied in healthcare. Research and development areas include predictive and decision-support systems based on data-driven model (ML/DL models) to optimize clinical processes and ultimately improve the quality of patient care. We are a team of multidisciplinary scientists who work day by day on e-health and AI projects, by collaborating with clinical staff (doctors, nurses, researchers) and management staff.
**Responsibilities and Main Activities**
- Processing and analysis of clinical, -omics and imaging data; harmonization of complex and highly fragmented data;
- Investigate, define and support the implementation of scalable computational models in order to extract relevant features for improving personalized medicine programs;
- Collaborate in research and development of innovative techniques for understanding disease-specific patterns from multi-modal and heterogeneous data;
- Explore, define and support the clinical validation of the statistical and AI/ML integrative models applied to real-world data;
- Contribute to solutions design and establishment of requirements;
- Visualize data, report effective results and derive useful knowledge using a data-driven approach;
- Self and team-management on individual and team-sized studies’ deadlines;
- Collaborate with international partners on cross-academic research projects.
**Skills and Qualifications**
- Understanding of -omics data structures and modeling. Experience in -omics data analysis is preferably;
- Experience in developing algorithms for data integration investigating disease-specific relevant markers, exploring dimensionality reduction methods to identify latent patterns and key features for clinical process improvement;
- Good knowledge of machine learning and deep learning techniques (e.g. k-NN, SVM, Random Forests, CNN, autoencoders, etc.) applied to healthcare;
- Good knowledge of statistical methods applied to medical data;
- Good scripting and programming skills (R, Python, bash);
- Working knowledge of containers technologies (Docker and/or Singularity);
- Experience in cloud (GCP, AWS) and/or distributed computing (HPC) is appreciated;
- Experience in pipeline development, of reproducible research (e.g. git) and/or reproducible software development is a plus;
- Fluent in written and spoken English and Italian;
**Soft Skills**
- Excellent team-working capabilities even with colleagues from different research areas and backgrounds;
- Strong self-motivation, commitment and proactive approach;
- Ability to meet deadlines and work autonomously in rapidly changing environments;
- Curiosity and ability of stepping outside your comfort zone.
**Contract and duration
