Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Vienna
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you analyze and visualize complex clinical data, develop machine learning models, and are responsible for monitoring solutions to identify relevant trends and insights.
Job Technologies
Your role in the team
- Analyze, transform and visualize complex clinical and diagnostic datasets.
- Design and maintain monitoring solutions to identify trends, anomalies, and business-relevant insights.
- Perform advanced statistical analyses and predictive modelling to support scientific research, product development and operational initiatives.
- Apply data mining and machine learning techniques to prepare, validate and optimize datasets and analytical models.
- Explore, implement, and maintain modern machine learning and LLM-based approaches for product-specific use cases.
- Collaborate closely with Data Analytics, Medical, R&D, Product Management, Software & IT, and Engineering teams to translate scientific and business questions into data-driven solutions.
- Develop, improve and document data processing infrastructure, dashboards and analytical tools.
- Maintain and further develop existing reporting, monitoring and visualization solutions.
- Contribute to scientific publications, conference presentations and the development of innovative diagnostic products.
- Contribute to optimizing the structure and processes of our Data Science Department.
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Our expectations of you
Education
- Advanced degree in Data Science, Biostatistics, Statistics, Mathematics, Computer Science, or a related quantitative field.
Qualifications
- Expert understanding of statistics and the math behind data science algorithms.
- Hands-on expertise in experimental design and model validation.
- Deep understanding of frameworks for developing, training, finetuning, and inference of machine learning models (e.g. Pytorch, TensorRT, vLLM).
- Strong programming skills in Python and/or R.
- Familiarity with cloud environments, workflow orchestration, containerization, and version control systems (e.g., Git).
- Excellent command of English; German language skills are advantageous but not required.
- Strong analytical mindset, curiosity and the ability to work independently while collaborating effectively with cross-functional teams.
- Motivation to contribute to innovative projects in a fast-growing international environment.
Experience
- Several years of experience in Data Science, Advanced Analytics or a comparable role.
- Experience with large language models (LLMs), orchestration, and harnessing frameworks.
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What we offer
- A full-time position (partial remote work possible).
- Annual pass for Vienna's public transport and Pluxee vouchers.
- Collaboration with people who care about human and veterinary patients alike.
- An environment where you feel empowered to ask questions, make requests and offer ideas.
- An atmosphere shaped by sustainability, equity, diversity, inclusion, and mutual respect.
- The opportunity to contribute directly to innovative diagnostic solutions that improve lives worldwide.
- For the cooperation in our team, we offer a payment in line with collective agreement (KV Handwerk und Gewerbe). Your actual salary depends on your previous experience and qualifications.
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Benefits
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
MacroArray Diagnostics GmbH
MacroArray Diagnostics GmbH (MADx) provides an allergy test that is claimed to be superior, more efficient, and user-friendly compared to competitors. We also offer a complete value chain from test materials to evaluation, including the necessary hardware and software. Our cloud-based interpretation software RAVEN ensures real-time analysis.
Description
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Data Scientist
- Location
- Vienna
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
