Clinical Operations and Health Data Specialist

The role

We're turning full-body MRI scans and advanced blood panels into actionable health insights. Behind every member's health report is a complex data workflow: reports from partner clinics, lab results in various formats, GP reviews, and eventually AI-powered analysis.

Right now, too much of this is manual. You'll change that.

You'll process the data that flows through our system today — ensuring accuracy, speed, and clinical quality. And you'll build the tools and pipelines that make tomorrow's workflow 10x more scalable. You're part clinical operations specialist, part data engineer, part automation-obsessed builder.

This is the rare role where you're expected to be heads-down processing reports on Monday and shipping a Python pipeline on Wednesday. If that sounds like whiplash instead of excitement, this isn't your role.

We're a technical, product-obsessed team. Sven (CPO) has a PhD in medical imaging from Oxford. Our engineers are senior folks from Google and Twitter. We ship fast, expect high quality, and have zero tolerance for theater.

Your responsibilities

• Process clinical data daily. Ingest reports from partner clinics and labs. Prepare draft health reports for GP review. Ensure accuracy, completeness, and compliance.

• Analyze patient data continuously. Track key health metrics across our cohort. Surface patterns in what we detect: demographic correlations, biomarker distributions. Generate weekly/monthly clinical intelligence reports for the medical team and leadership. Identify anomalies or trends that should inform product decisions.

• Build automation relentlessly. Identify manual work; ship tools to eliminate it. Use Python, SQL, AI tools, and whatever else works. Default to action.

• Design and maintain data pipelines. Connect EHRs, lab systems, and clinic databases using HL7, FHIR, and other standards. Make data flow reliably and insightful. 

• Support ML initiatives. Prepare harmonized, validated datasets for the product engineering team. Understand what makes data "ML-ready."

• Bridge clinical and technical teams. Translate between GPs (clinical needs), engineers (technical constraints), and ops (business requirements). Make decisions fast when you can; escalate clearly when you can't.

• Optimize clinical workflows. Spot bottlenecks; propose solutions. Work with Sven and medical team to implement changes that actually stick.

• Own the SLA. Reports reach GPs within 5 business days, consistently. You're accountable for hitting this.

Need to have

• 3+ years in a technical role within healthcare — clinical informatics, health IT, healthcare data engineering, or similar

• EHR and interoperability standards fluency — proven experience with HL7, FHIR, and healthcare data exchange

• Can code — Python, SQL, or similar. You ship automation, not just ideas. Use AI tools (Cursor, Claude, etc.) to move faster.

• Data analysis and visualization — You can wrangle messy healthcare data, identify meaningful patterns, and communicate findings clearly. Experience with pandas, numpy, visualization libraries (matplotlib, seaborn, plotly).

• Clinical workflow literacy — understand how doctors, labs, and clinics actually work. Know what HIPAA/GDPR compliance means in practice.

• AI-native — demonstrated proof you've built or deployed AI-powered tools or workflows. Not a tourist; you use AI daily for your own work.

• Execution velocity — you ship weekly improvements, not quarterly roadmaps. Comfortable with ambiguity and changing priorities.

• Ownership mindset — if the report is wrong or late, you lose sleep. Take pride in quality; care about the mission.

Nice to have

• Master's degree in clinical informatics, health IT, or related technical field

• Startup or fast-scaling healthcare company experience

• Advanced data analytics skills, including SQL mastery and BI tool fluency (Metabase, Looker, etc.)

• Experience with ML/AI in healthcare (image analysis, model training, dataset preparation, validation)

• Population health or epidemiology background - understanding of prevalence, incidence, risk factors, cohort analysis

• Clinical Informatics certification (CPHIMS or similar)

• German language skills

Benefits

• CHF 90–110K + meaningful equity in a fast-growing health-tech startup

• Shape how Europe approaches preventive healthcare

• Small, technical, mission-driven team with real ownership

• Direct reporting to CPO; work closely with medical advisors and product team

• Zürich-based role with flexibility for remote work across Europe

• No unnecessary process — we build, ship, and iterate