Senior Statistician

Randstad Digital - Data Scientist/Statistician for Medical Device Development

Randstad Digital, division of Randstad Italy specialized in recruiting ICT professionals, is seeking a talented individual for a renowned Software House involved in developing digital solutions for the medical sector. The selected candidate will join an international team dedicated to developing and validating intelligent medical devices.

Role Responsibilities:

1. Design and implement data pipelines for collecting, cleaning, and transforming heterogeneous data, including images and metadata.
2. Utilize languages like R and SQL for data integration, manipulation, and extraction from clinical and operational sources.
3. Manage the full lifecycle of datasets: stratification, versioning, documentation, and quality control.

Statistical Analysis and Reporting:

1. Develop statistical models for analyzing distributions, identifying anomalies, outliers, and significant trends.
2. Perform statistical tests and inferential analyses (e.g., t-test, ANOVA, chi-square).
3. Define criteria, thresholds, and reference ranges to ensure compliance with experimental protocols.
4. Produce technical and statistical reports for internal use and regulatory purposes.

Essential Requirements:

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

Preferred Skills:

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

Work Mode: Fully remote with once-a-month team meetings.

Compensation: Based on experience.

This job posting is open to all genders, ages, and nationalities, in accordance with applicable laws.