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Data Scientist
2 maanden geleden
ShanX Medtech BV is a pioneering company dedicated to revolutionizing healthcare through innovative diagnostic tools. Our mission is to transform infection management by developing cutting-edge solutions that prevent unnecessary suffering.
Job SummaryWe are seeking a highly skilled (Data) Scientist to join our team and contribute to the development of our groundbreaking rapid antibiotic susceptibility testing device, KAIROS IVD. As a key member of our team, you will be responsible for generating and developing new data analysis tools and algorithms to inform and accelerate diagnostic product development.
Key Responsibilities- Conduct R&D: Contribute to the generation of relevant data used as input to algorithms.
- Data Analysis: Lead the analysis of large and complex datasets, including clinical data and reference data generated from diagnostic assays.
- Algorithm Development: Train, develop, and refine algorithms and models for data analysis, interpretation, and predictive analytics.
- Feature Engineering: Identify and engineer relevant features from raw data to enhance the performance and accuracy of predictive models.
- Model Validation: Validate predictive models and algorithms using appropriate validation techniques.
- Data Visualization: Create clear and informative data visualizations to communicate results and insights effectively to stakeholders.
- Master's degree in data science, computer science, statistics, bioinformatics, biomedical engineering, or a related discipline.
- 2 years' experience in a similar function.
- Proficiency in programming languages commonly used in data science, such as Python, R, or SQL.
- Familiarity with data management and preprocessing techniques.
- Machine Learning: Basic understanding of machine learning concepts and algorithms.
- Ability to create clear and informative data visualizations.
- Fluency in English.
- Openness to learn about performing experimental work in a laboratory environment and with bacteria.
- Experience with machine learning libraries such as scikit-learn or TensorFlow.
- Experience with handling large-scale datasets and databases.
- Domain Knowledge: Familiarity with the fundamentals of in-vitro diagnostics.
- Good communication skills to non-technical stakeholders.
- Competitive compensation and benefits package.
- Access to professional development opportunities for career growth and advancement.
- Flexible schedule and work arrangements.
- Dynamic and collaborative work environment.
We are committed to creating a workplace that is inclusive, diverse, and supportive of our employees' growth and well-being. If you are a motivated and talented (Data) Scientist looking to make a meaningful impact in the field of in-vitro diagnostics, we encourage you to apply for this exciting opportunity.