FAQs
What are the main responsibilities for the Data Scientist position?
The main responsibilities include developing and deploying ML models, performing statistical analysis on multimodal datasets, managing code in a production environment, optimizing and scaling existing data pipelines, and contributing to academic publications.
What programming languages and tools should I be familiar with?
You should have production-level experience in Python and be familiar with commonly used data science libraries such as sklearn, pandas, and numpy. Experience with deep learning frameworks like TensorFlow, PyTorch, and Fastai is beneficial but not necessary.
Is prior experience in the biomedical sector required?
Previous work in the biomedical sector would be beneficial but is not mandatory.
What level of education is required for this position?
A BSc and MSc are required, with at least one degree being in statistics, data science, or a similar field.
Are there opportunities for career development in your company?
Yes, our employees are encouraged to take on career development opportunities that cannot be found at larger, more established companies.
What type of work environment can I expect?
You can expect a fast-moving startup environment with an energetic and dynamic team focused on innovation and disruption in the MedTech industry, while maintaining high quality and usability standards.
Does the company provide visa sponsorship?
Yes, visa sponsorship is available for this position.
What benefits does the company offer?
The company offers a competitive salary, an employee equity programme, a pension plan, and 25 days of annual leave plus bank holidays.
Is experience with AWS required for the Data Scientist role?
Experience with AWS (EC2, S3, Lambda, Batch) is beneficial but not required.
What is the employment type for this position?
The employment type is permanent and full-time.