Senior Data Scientist & Software Engineer 80-100% (m/w/d)

Work location: Switzerland: Solothurn, Hybrid
Start: By agreement, permanent position
About us:
QUMEA is the pioneer in digital mobility monitoring for healthcare institutions. We stand for innovation and progress in healthcare and set new standards in patient safety. Our radar-based system measures human movement in the patient's room contactlessly and anonymously. Caregivers automatically know how their patients are doing around the clock and are informed in real time when they need assistance. In this way, our digital mobility monitoring ensures greater patient safety, supports caregivers in their work, and delivers relevant clinical insights.
What drives us? To support healthcare professionals in proactively managing risks and improving outcomes – with a solution that works securely, efficiently, and discreetly. To achieve this, we develop not only products, but also knowledge and technologies that are ahead of their time. To strengthen our algorithms team, we are looking for a Senior Research & Radar Signal Processing Engineer to further develop our data pipeline. Your mission:
As a Senior Data Science & Software Engineer, you will develop new, clinically relevant capabilities for patient monitoring from our radar data. You will evaluate creative new approaches and translate them into robust, measurable models that have a real impact in everyday practice, such as lone/present detection, gait analysis (movement patterns), and new features like delirium detection. Your focus is scientifically curious, yet hands-on and product-oriented: You will not only build prototypes but also integrate solutions cleanly and architecturally into the product landscape – with clean code and engineering standards (Java & Python). Your tasks in detail:

• Development and validation of models/algorithms for use cases such as:
• Gait analysis and movement pattern recognition (gait pattern, stability, deviations, trend analyses)
• New features such as delirium, complex risk indicators, clinical “events”
• Experiment design & measurability: Definition of metrics, offline evaluation, golden sets, reproducibility, performance/robustness.
• Feature Engineering & Representation Learning: deriving meaningful representations from radar data (including domain understanding).
• Production-ready implementation:
• Transition from prototypes to clean software components
• Clean Architecture, testable Code, Code Reviews, Refactoring
• Integration into our existing pipeline/services (Java/Python)
• Evaluation of new approaches for radar-based patient monitoring (classical ML, deep learning, probabilistic models, first principles and hybrid methods).

Qualifications
What you bring:

• Several years of experience as a Senior Data Scientist / ML Engineer / Software Engineer (or similar) with demonstrable productive ML systems.
• Solid knowledge of machine learning (supervised/unsupervised, sequences/time series, anomaly detection, classification/regression) and a solid understanding of statistics/evaluation.
• First-principles thinking: You can not only "apply" models, but also derive, question and combine them with domain knowledge (hybrid approaches).
• Excellent programming experience and engineering mindset:
• Python (analysis, prototyping, modeling)
• Java (product integration, clean services/components)
• Testing, code quality, maintainable design, performance awareness
• Experience with the entire model lifecycle: understanding data → building the model → evaluating → putting into production →
• Scientific curiosity paired with pragmatism: formulate hypotheses, test them experimentally, deliver results.

Nice to have:

• Radar/sensor experience (radar especially, alternatively similar modalities with demanding signal/time series characteristics).
• MLOps / ML-Pipelines: Training/Deployment-Automation, Model Registry, Monitoring/Drift, reproducible experiments.
• Experience with scalable data/feature pipelines, streaming/batch, and observability.
• Experience with robust benchmarking (regression suites, golden data replays, A/B tests).
• Domain expertise in the healthcare context (clinical workflows, outcome-oriented feature definition).

Benefits
Why QUMEA?

• At QUMEA you can expect:
• Meaningful work: Because we believe in making a difference and sustainably changing the healthcare system with genuine innovations.
• Flexibility and mobility: Hybrid working and public transport allowances – for maximum freedom and a contribution to the planet.
• Success together: Don't just be a participant, be a shareholder: in – with our employee participation program or through the direct acquisition of shares.
• Team events and team spirit: From treasure hunts to ski weekends - because we share experiences that connect people.
• Sporting activities: Whether you're a running guru or a badminton pro, we have something to keep you moving.
• The ability to act: Your ideas are not only heard - they are also implemented.
• Our culture of learning from mistakes: Mistakes happen, and for us they are just another step on the road to genius (and a good laugh).

Application:
Does this sound like your dream job? Then send us your application documents (CV & cover letter). We look forward to hearing from you and getting to know you!