AI Scientist

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Equity

Offered From the posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

AI Scientist Copenhagen At H1, we believe access to the best healthcare information is a basic human right. Our mission is to provide a platform that can optimally inform every doctor interaction globally. This promotes health equity and builds needed trust in healthcare systems. To accomplish this our teams harness the power of data and AI-technology to unlock groundbreaking medical insights and convert those insights into action that result in optimal patient outcomes and accelerates an equitable and inclusive drug development lifecycle. Visit h1.co to learn more about us. We are looking for an AI Scientist to join a dedicated team building and evolving a clinical data platform serving the clinical operations space. You will design and implement machine learning models that power insights across the clinical trial lifecycle - working with large-scale healthcare datasets spanning publications, clinical trials, medical claims, and provider data. This is a backend, data-intensive role. You will work at the intersection of machine learning research and production data systems, building models that run at scale and integrate into real-world clinical workflows. You should be comfortable moving from research to implementation in a fast-paced, applied setting. WHAT YOU'LL DO AT H1 - Design, develop, and deploy machine learning models to extract insights from clinical and healthcare data - including NLP tasks across publications, trial records, and medical claims - Build and optimize ML pipelines on large-scale distributed systems using Apache Spark and cloud-native tools - Work with structured and unstructured data sources to develop predictive models,

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