Senior Statistician

Randstad Digital Italia; Italia; Remoto; EUR 35.000 - 60.000; Tempo pieno

Descrizione del lavoro

Randstad Digital Italia cerca un Data Scientist per una rinomata software house nel settore medico. Il candidato ideale avrà competenze avanzate in analisi statistica e programmazione, con esperienza nella gestione di dataset complessi e nella formazione di modelli AI. Il lavoro è completamente remoto, con incontri mensili di team e una retribuzione commisurata all'esperienza.

Competenze

• Conoscenza avanzata di design sperimentale e analisi inferenziale.
• Esperienza nella gestione di dataset basati su immagini e metadati strutturati.
• Familiarità con l'ambiente sanitario regolamentato e dispositivi medici.

Mansioni

• Progettazione e implementazione di pipeline per la raccolta e pulizia dei dati.
• Sviluppo di modelli statistici per analizzare distribuzioni e identificare anomalie.
• Produzione di rapporti tecnici e statistici per uso interno e scopi normativi.

Conoscenze

Analisi statistica

Programmazione in R

SQL

Linux

Visualizzazione dei dati

Formazione

Master o PhD in Statistiche o discipline quantitative

Strumenti

Tableau

Power BI

matplotlib

Git

DVC

Descrizione del lavoro

Job Opportunity: Data Scientist in Medical Device Development

Randstad Digital, a division of Randstad Italy specializing in the recruitment of ICT professionals, is seeking a talented Data Scientist for a renowned software house focused on developing digital solutions for the medical sector.

The selected candidate will join an international team dedicated to the development and validation of intelligent medical devices. The role combines advanced statistical skills and operational capabilities in managing and analyzing complex datasets, with a focus on training AI models, generating regulatory reports, and ensuring compliance with sector standards.

Responsibilities and Activities:

• Designing and implementing pipelines for collecting, cleaning, and transforming heterogeneous data, including images and metadata.
• Using languages such as R and SQL for data integration, manipulation, and extraction from clinical and operational sources.
• Managing the full lifecycle of datasets: stratification, versioning, documentation, and quality control.

Statistical Analysis and Reporting:

• Developing statistical models to analyze distributions, identify anomalies, outliers, and significant trends.
• Performing statistical tests and inferential analyses (e.g., t-tests, ANOVA, chi-square).
• Defining criteria, thresholds, and reference ranges to comply with experimental protocols.
• Producing technical and statistical reports for internal use and regulatory purposes.

Essential Requirements:

• Master's degree or PhD in Statistics, Biostatistics, or related quantitative disciplines.
• Strong knowledge of experimental design, sample size calculation, stratification methods, and inferential analysis.
• Advanced skills in R, SQL, and Linux environments.
• Experience managing datasets based on images and structured metadata.
• Familiarity with data visualization and analysis tools (e.g., Tableau, Power BI, matplotlib).
• Knowledge of the regulated healthcare environment, medical devices, or clinical trials.

Additional Skills (Plus):

• Experience in DevOps or systems management supporting data pipelines.
• Ability to design logical and analysis-oriented data structures.
• Knowledge of data versioning tools (e.g., Git, DVC) and cloud environments.

Work Mode and Compensation:

• Full remote work with monthly team meetings.
• Compensation commensurate with experience.
• Direct hire by the client under the National Collective Labour Agreement for Commerce.

This announcement is open to all genders, ages, and nationalities, in accordance with legislative decrees 903/77, 125/91, 215/03, and 216/03.