<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p><strong>About us</strong></p><p>At Combyn Health Care, we are building technology that makes preventive medicine faster, smarter, and more accessible.</p><p>Our flagship product, BioCore Loop, is a physical-meets-digital screening system that captures multi-modal health data in minutes — including ECG signals, segmental bioelectrical impedance data, weight metrics, and 3D body measurements. The goal is simple but ambitious: detect long-term cardiovascular and metabolic risks earlier, more accurately, and at scale.</p><p>We are a young, fast-moving team with a flat structure, high ownership, and very little tolerance for corporate theater. No endless approval loops. No rigid department walls. No “that’s not my job” mindset.</p><p>We build, test, learn, improve — and move.</p><p><br/></p><p><strong>The role</strong></p><p>We are looking for a Lead Data Scientist – Medical Analytics to take ownership of our cloud-based analytics layer.</p><p>BioCore Loop streams high-fidelity raw sensor data into the cloud. Your mission is to turn that raw biological data into meaningful, clinically relevant insight.</p><p>You will work with ECG curves, impedance spectroscopy signals, body composition data, 3D body scans, and historical medical records — then design the models, pipelines, and analytical architecture needed to transform this data into predictive health metrics.</p><p>This is not a role for someone who wants to maintain a dashboard someone else designed. This is a role for someone who wants to shape the analytical brain of a medical technology platform from the ground up.</p><p><br/></p><p><strong>What you’ll work on</strong></p><p><strong><em>1. Cloud-based biomedical signal fusion</em></strong></p><p>Process and combine raw ECG and BIA signals in the cloud, building algorithms that connect different physiological data streams into stronger cardiovascular and metabolic risk indicators.</p><p><strong><em>2. Raw data exploration at scale</em></strong></p><p>Work directly with electrical cardiac signals, impedance waves, weight and body composition data, and 3D Time-of-Flight camera point clouds to extract as much meaningful physiological signal as possible.</p><p><strong><em>3. Scalable analytics architecture</em></strong></p><p>Design flexible cloud processing systems that can ingest, normalize, analyze, and evolve with our current and future data sources.</p><p><strong><em>4. Medical data integration</em></strong></p><p>Help merge high-frequency sensor streams with historical medical records from doctors and legacy health systems, turning fragmented data into a coherent longitudinal health picture.</p><p><strong><em>5. Close collaboration with engineering + medical team</em></strong></p><p>Work directly with hardware, firmware, backend, and product people to influence how data is captured, streamed, stored, and processed — from sensor to cloud to insight.</p><p><br/></p><p><strong>What we’re looking for</strong></p><p>We are looking for someone who is technically strong, curious, independent, and comfortable building in an environment where not everything is already defined.</p><p>· <strong>Strong Python skills:</strong><span> You are highly comfortable with Python and scientific computing tools such as Pandas, NumPy, SciPy, Scikit-learn, and related libraries.</span></p><p>· <strong>Production analytics experience:</strong><span> You have built data or ML pipelines that run outside of notebooks and can survive real-world usage.</span></p><p>· <strong>Cloud data architecture experience:</strong><span> You know how to think about scalable data ingestion, processing, storage, and deployment in cloud environments.</span></p><p>· <strong>Biomedical signal processing expertise:</strong><span> You have hands-on experience with time-series or biomedical signals — ideally ECG processing, filtering, QRS detection, HRV analysis, impedance spectroscopy, or related physiological signal domains.</span></p><p>· <strong>A research-driven builder mindset:</strong><span> You can look at messy data, form a hypothesis, build a prototype, validate it, and iterate quickly.</span></p><p>· <strong>Strong analytical foundations:</strong><span> Your background may be in data science, biomedical engineering, physics, mathematics, computer science, or something equivalent. We care more about how you think than the title of your degree.</span></p><p>· <strong>Bonus: 3D / spatial data experience:</strong><span> Experience with point clouds, 3D body scans, computer vision, or Time-of-Flight camera data is a strong plus.</span></p><p>· <strong>Language skills:</strong><span> Fluent English is important for our international team. German is helpful, especially for local engineering and medical collaboration, but not required.</span></p><p><br/></p><p><strong>Who will thrive here</strong></p><p>· <span>You want real ownership instead of narrow ticket work.</span></p><p>· <span>You like working close to hardware, data, and product at the same time.</span></p><p>· <span>You prefer fast iteration over long internal politics.</span></p><p>· <span>You are excited by raw, messy, high-value biological data.</span></p><p>· <span>You want your algorithms to power a real physical medical device ecosystem.</span></p><p>· <span>You enjoy building things where no one has written the perfect specification yet.</span></p><p>You may not enjoy this role if you need a fully defined corporate structure, large support departments, or a polished 50-page requirements document before you start experimenting.</p><p>What we offer</p><p>· <strong>Real autonomy:</strong><span> Own major decisions around the data science roadmap, signal processing strategy, and cloud analytics architecture.</span></p><p>· <strong>A meaningful product:</strong><span> Directly influence a medical screening system designed to detect health risks earlier and improve preventive care.</span></p><p>· <strong>A young, highly motivated team:</strong><span> Work with people who care deeply about building, learning, and moving fast.</span></p><p>· <strong>Flexibility:</strong><span> Work from our Graz office, from home, or hybrid — what matters most is quality, momentum, and clear collaboration.</span></p><p>· <strong>Competitive compensation:</strong><span> For legal reasons, we state the Austrian collective agreement baseline of €4,500 gross/month. For the right senior expertise, we are fully prepared to pay significantly above this level.</span></p><p><br/></p><p>Ready to build the analytical engine behind BioCore Loop?</p><p>Send us your LinkedIn profile, GitHub, portfolio, or CV at careers@combynhealthcare.com.</p><p><br/></p><p>We are less interested in perfect career paths and more interested in sharp thinking, strong execution, and the ability to turn complex biological data into useful medical insight.</p> </div>