Location: Switzerland: Solothurn, Hybrid

Start: By arrangement, permanent

About us:

QUMEA is a 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 patient rooms contactlessly and anonymously. Care teams automatically know around the clock how their patients are doing and are informed in real time when help is needed. This digital mobility monitoring increases patient safety, supports care teams in their daily work, and delivers relevant clinical insights.

What drives us? Supporting healthcare professionals in proactively managing risks and improving outcomes—with a solution that works safely, 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 Algorithmics team, we are looking for you as a Senior Data Scientist & Software Engineer to further develop our data pipeline.

Tasks

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 make a real impact in everyday care - for example, lone/presence detection, gait analysis (movement patterns), and new features such as delirium.

Your focus is scientifically curious while being hands-on and product-oriented: you don’t just build prototypes, you integrate solutions cleanly into the product landscape with sound architecture, clean code, and an engineering mindset (Java & Python).

Your responsibilities in detail:

Requirements

What you bring:

Nice to have:

• Radar/sensor experience (radar preferred; 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 processing, observability.

• Experience with robust benchmarking (regression suites, golden data replays, A/B tests).

• Domain know-how in healthcare (clinical workflows, outcome-oriented feature definition).

Benefits

Why QUMEA?

At QUMEA, you can expect:

• Meaningful work: because we believe in making an impact and sustainably changing healthcare with real innovations.

• Flexibility and mobility: hybrid working and public-transport reimbursements—for maximum freedom and a contribution to the planet.

Application:

Sounds 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!