Data Scientist

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🌐 Switzerland, Germany, +3 more countries – Remote

🇨🇭 Switzerland – Remote 🇩🇪 Germany – Remote 🇫🇷 France – Remote 🇬🇧 United Kingdom – Remote 🇪🇸 Spain – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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Hilo by Aktiia

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

🏥 Healthcare

🤖 Artificial Intelligence

Healthcare • Artificial Intelligence

Hilo by Aktiia is a healthcare company focused on transforming blood pressure monitoring through innovative, AI-powered technology. Established in 2018, Hilo offers cuffless solutions that provide continuous and accessible insights for both individuals and healthcare professionals. With a foundation model trained on extensive datasets, involving billions of optical signals, the company is redefining hypertension management and contributing to the field through numerous peer-reviewed publications and patents. Headquartered in Switzerland, Hilo is on a mission to improve global health outcomes related to blood pressure.

📋 Description

• Mine and analyse large-scale real-world data to identify patterns, trends, and relationships related to clinical outcomes, product performance, accuracy, and usage • Design, perform, and interpret statistical analyses of clinical study data in collaboration with the clinical team • Produce scientific insights, publication-ready figures, and statistical summaries for conferences, posters, and peer-reviewed publications • Apply statistical methods to user and product data concerning engagement, retention, conversion, feature usage, and segmentation • Design, run, and interpret experiments and statistical tests evaluating product or feature changes • Develop reproducible, traceable, and well-documented analytical workflows aligned with ISO 13485, MDR, and GCP standards • Contribute to the shared Python/SQL/Spark codebase using Git, CI/CD, and code review practices • Select and apply statistical and modelling techniques while assessing assumptions, limitations, and result reliability • Collaborate with clinical, scientific, product, and engineering teams • Communicate analytical findings to technical and non-technical audiences • Support Product and Leadership decision-making through reliable, reproducible analyses

🎯 Requirements

• MSc (or equivalent demonstrated ability) in Data Science, Statistics, Bioinformatics, or another quantitative field • 3–5 years of hands-on experience in Data Science, Statistics, Biostatistics, Data Analytics, or a related quantitative field; strong candidates with less experience are welcome • Strong proficiency in Python and SQL • Experience with Spark is a strong advantage • Strong statistical foundations in hypothesis testing, regression, survival analysis, experimental design, and statistical modelling • Ability to select appropriate statistical methods, assess assumptions and limitations, and interpret results clearly • Understanding of clinical study design and biostatistics • Ability to translate ambiguous clinical, scientific, product, or business questions into well-defined analytical problems • Experience turning large, messy, real-world datasets into clear, publication-ready analyses and scientific figures • Fluent in English • Based in Western Europe, such as Switzerland, Spain, the United Kingdom, France, or Germany • Advanced statistical or predictive modelling experience is a nice-to-have • Databricks and/or BI/dashboarding tools experience is a nice-to-have • Experience handling sensitive/clinical data and awareness of GDPR and HIPAA are nice-to-haves • PhD is a nice-to-have

🏖️ Benefits

• Mission focused on transforming cardiovascular health at global scale • High-impact, fast-growing, venture-backed scale-up environment • Collaboration with a diverse, passionate, and talented team • Competitive compensation • Equity program • Other benefits depending on location