Requirements: English
Company: Cosmo Intelligent Medical Devices
Region: italia, italy ,
At Cosmo IMD, we are at the forefront of revolutionizing healthcare through our groundbreaking technology. With our innovative advancements in live endoscopy, we are transforming the landscape of medical diagnostics. We leverage the power of artificial intelligence to empower physicians, enabling them to make well-informed decisions and significantly improve the lives of their patients. Our dedication to excellence has resulted in creating GI Genius: our AI-enabled medical device for live endoscopy has received FDA approval and is successfully deployed in hospitals worldwide, making a significant impact in the field of healthcare. Check out our website for more information at cosmoimd.com.
We are seeking a Statistician to contribute to the design, generation, and analysis of datasets used in the development of medical devices, neural network training, and clinical research. This role combines deep statistical expertise with hands-on data handling and programming. You will be responsible for study design, sample size estimation, and the creation of high-quality, structured datasets. The ideal candidate has experience working with image and metadata pipelines, strong analytical skills, and a solid understanding of regulatory standards in healthcare and AI.
Key Responsibilities:
- Dataset Development, Programming & Data Handling:
- Build and maintain Python-based pipelines to generate, preprocess, and manage datasets of images and corresponding metadata
- Own the dataset lifecycle, including stratification, versioning, documentation, and quality control, ensuring reproducibility.
- Use SQL to extract, transform, and structure data from clinical and operational sources, and integrate workflows with tools such as Git, DVC, and cloud environments.
- Data Analysis & Quality Assessment:
- Analyze dataset composition and system/model performance results.
- Apply statistical methods for outlier detection, hypothesis testing, and metrics analysis.
- Support performance evaluation by identifying trends, inconsistencies, and data-driven insights.
- Regulatory Compliance:
- Follow data privacy regulations such as GDPR and HIPAA and work in compliance with EMA, FDA, and ISO standards, including ISO 13485, GCP, and 21 CFR Part 11.
- Contribute to documentation required for audits, internal reviews, and regulatory submissions.
- Statistical Analysis, Plans and Report:
- Design statistical frameworks for dataset creation and clinical/non-clinical studies.
- Perform sample size calculations based on power, precision, and study objectives.
- Define stratification strategies and inclusion/exclusion criteria to ensure representative and statistically valid datasets.
Requirements:
- Strong background in statistics, including study design, power/sample size estimation, and data stratification.
- Proficiency in R, Python and SQL for data handling, analysis, and automation.
- Expertise in outlier detection, statistical testing (e.g., t-tests, ANOVA, chi-square), and performance metrics analysis.
- Experience working with image-based datasets and structured metadata.
- Understanding of regulatory and quality requirements in clinical or health-related domains.
Preferred Qualifications:
- Masters or Ph.D. in Statistics, Biostatistics, or a related quantitative field.
- Educational or professional background in biology, bioinformatics, or a clinical research environment.
- Experience with data visualization and analysis tools (e.g., Tableau, Power BI, matplotlib, seaborn).
- Familiarity with clinical trials, medical devices, or AI/ML applications in healthcare.
- Experience working under a quality management system or in regulated environments (e.g., ISO 13485, FDA, EMA).
We offer competitive compensation and benefits packages, a collaborative and innovative work environment, and opportunities for professional growth and development. Join our team and be part of the exciting journey to revolutionize healthcare through artificial intelligence and medical devices.
To apply, please submit your resume, a cover letter highlighting your relevant experience and interests, and any additional supporting materials using the link below. We look forward to reviewing your application and discussing how you can contribute to our mission. The interview process will include online and onsite interviews. Only shortlisted candidates will be contacted for further steps in the hiring process.
We support equal opportunities, without any discrimination;
The research complies with Legislative Decree 198/2006