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Machine Learning Engineer

3 mesi fa

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We are looking for a Machine Learning Engineer with strong formalization skills able to convert stakeholders' needs into verifiable hypotheses to deliver even better clinical services.

Your main contribution will be focused on developing models to answer clinical questions with evidence in an R&D setting using structured and unstructured data from the electronic health record. You will routinely interface with clinical stakeholders to evaluate KPIs, update the modeling strategy, and course-correct unverified hypotheses. You will be developing libraries to share with your team and leverage already existing ones.

The main objectives of the research activity are to answer clinical questions with data-driven methodologies with a special emphasis on evaluation, fairness, and transparency to produce transactional research of quality.

You will be part of the Humanitas AI Center reporting to the Chief Innovation Officer. The AI Center of Humanitas, a fast-paced research team at one among Italy's best institutions working in the biomedical research field, is focused on research in the field of Artificial Intelligence applied in healthcare. Research and development areas include predictive and decision-support systems based on data-driven models (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.

Main activities: Retrieval and querying of data from distributed architecture databases. Exploratory data analysis on clinical data. Innovative algorithms design and data analysis to discover and assess significant dynamics and patterns from complex data. Explore, define and support the validation of statistical and machine learning models in order to obtain useful tools to be applied in the biomedical field. Create and iterate possibly scalable computational models, in order to make the theoretical findings applicable to real-world data. Collaborate with international external partners on cross-academic research projects. Candidate profile: We are looking for motivated candidates who appreciate challenging tasks, objectives and are strongly oriented to both scientific excellence, high-performance computing, and human relationships.

Mandatory Requirements: Master in a STEM related field. Fluent in written and spoken English and Italian. Hard Skills: Strong scripting and programming skills in Python. Excellent statistical knowledge. Experience with Data Management, Data integration, data transformation (ETL). Strong experience with pre-processing and exploratory data analysis on clinical data, with effective results reporting. Knowledge of SQL. Knowledge of infrastructure as code principles. Knowledge of PaaS and SaaS solutions offered by Cloud Providers (Azure, AWS, GCP). Experience with deployment including knowledge of CI/CD, containerization (Docker), and related concepts. Excellent analytical and problem-solving skills. Strongly recommended: Storytelling: communicate your results to stakeholders without your expertise with impact. Experience working with electronic health records. Soft Skills: Excellent team-working capabilities even with colleagues from different research areas and backgrounds. Strong self-motivation and proactive approach. Able to meet deadlines and work autonomously. Curiosity and ability to step 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.

Contract and duration: We can offer a fixed-term contract of at least two years, that could be converted into a permanent contract. Salary, as well as employment level, will be defined based on the candidate's profile.

Company: Humanitas

Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience)

Tagged as: Data Analysis, Industry, Italy, Machine Learning, NLP

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