Data Scientist - Bioinformatician AI Center

Humanitas; Rozzano; In loco; EUR 40.000 - 60.000; Tempo pieno

Descrizione del lavoro

A leading research hospital in Italy is seeking a highly motivated Bioinformatician/Data Scientist to join their interdisciplinary team. The candidate will analyze complex clinical and -omics data to develop innovative AI-based models, contributing to personalized healthcare strategies. The ideal applicant will have a Master's or PhD in a relevant field, data integration experience, and programming skills in R or Python. This role offers the chance to work at the forefront of AI in healthcare and collaborate with an international network.

Servizi

Access to talented colleagues in various fields

Contribution to groundbreaking research in AI

Competenze

• Experience in -omics data analysis is preferred.
• Experience in developing algorithms for data integration.
• Good scripting and programming skills in R and Python.
• Fluent in English and Italian.

Mansioni

• Analyze clinical, -omics, and imaging data.
• Support the implementation of computational models for personalized medicine.
• Collaborate on research and development of innovative techniques.
• Validate statistical and AI/ML models applied to real-world data.
• Contribute to design solutions and establish requirements.

Conoscenze

Bioinformatics

Machine learning

Deep learning

Data integration

Statistical methods

R

Python

Docker

Cloud computing (GCP/AWS)

HPC

English

Italian

Formazione

Master's or PhD in Bioinformatics, Computational Biology, Biomedical Engineering, Computer Science or STEM

Strumenti

Git

Descrizione del lavoro

Località: Rozzano, IT, 20089

Overview

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.

As part of our technological team, we expect the candidate to help us discover the hidden information underlying complex data (clinical information, DNA-seq, RNA-seq, single-cell and histopathological medical image data), developing innovative multi-modal integrative and deep learning-based models able to translate research findings into personalized healthcare strategies. The common purpose leading the research activities is the progression toward a data-driven precision medicine with a main focus on rare hematological diseases.

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.

Qualifications and required skills

• We invite applications from highly motivated and outstanding students with a Master Degree’s or PhD (preferably but not mandatory) in one of the following disciplines: Bioinformatics or Computational Biology, Biomedical Engineering or Computer Science or STEM related disciplines.
• 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.

Why you should consider this opportunity

Humanitas Research Hospital is investing in data driven research and development of clinical support tools based on AI, you will contribute to the design and application of breakthrough technologies to be deployed in advanced clinical institutions.

You will get access to an extraordinary group of talented and passionate people coming from fields ranging from clinical sciences and healthcare management to informatics, bioinformatics and systems biology, including our extended international research network.

All candidate data collected from the application shall be processed in accordance with applicable law: Dlgs 198/2006 e dei Dlgs 215/2003 e 216/2003; privacy ex artt. 13 e 14 del Reg. UE 2016/679.