Analytics Engineer

About the company

Aidoc is a global clinical AI company that develops the CARE foundation model and the aiOS enterprise platform to support diagnostic decision-making.

About this role

<div class="content-intro"><p><strong>About Aidoc </strong></p> <p>Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year.<br>Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions.<br><br>Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need.</p></div><h4>About this role</h4> <ul> <li>The Aidoc Clinical Value team plays a pivotal role in evaluating the outputs and performance of Aidoc's products to demonstrate the value delivered to customers in real-world clinical and operational settings.</li> <li>We are looking for an experienced <strong>Analytics Engineer</strong> to join our Clinical Value team and develop the <strong>data foundations, infrastructure, and analytical tools</strong> that enable our work.</li> <li>This hybrid role combines Analytics Engineering with hands-on data analysis. You will translate complex analytical and clinical needs into scalable, reliable, and reusable data solutions.</li> <li>You will design data models, pipelines, analytical layers, and tools that enable complex Clinical Value studies across products and customers, while remaining hands-on with selected analytical projects.</li> <li>You are expected to be independent, proactive, and impact-oriented, taking end-to-end ownership of technical challenges and opportunities for improvement.</li> <li>&nbsp;evaluation.</li> </ul> <h4>Responsibilities</h4> <div class="comeet-position-responsibilities comeet-user-text"> <ul> <li><strong>Design, build, and maintain the data infrastructure supporting Clinical Value analyses</strong>, including reusable data models, pipelines, analytical layers, and tools.</li> <li>Own the technical and analytical implementation of <strong>complex Clinical Value applications</strong>, adapting established methodologies to different products, customers, and real-world data environments.</li> <li>Develop complex analytical solutions into <strong>reusable and scalable frameworks</strong>, enabling broader and more efficient execution across the team.</li> <li>Identify data-quality issues, technical bottlenecks, and repetitive processes, and develop solutions and automation to improve reliability and efficiency.</li> <li>Work closely with analysts, Data Engineering, and other technical teams to translate analytical needs into effective, maintainable data solutions and establish best practices.</li> <li>Lead selected <strong>hands-on data-analysis projects</strong>, analyzing complex clinical and operational datasets to generate credible, actionable conclusions.</li> <li>Collaborate with Go-to-Market teams, including Customer Success, to understand customer needs and support impactful customer-facing value demonstrations.</li> </ul> </div> <h4>Requirements</h4> <div class="comeet-position-requirements comeet-user-text"> <ul> <li><strong>Education &amp; Experience:</strong> B.Sc. or higher in a Scientific or Engineering discipline with 3+ years of experience in Analytics Engineering, Data Engineering, or a technical analytics role<strong>.</strong></li> <li><strong>Core Technical Stack: </strong>Advanced Python and SQL skills; hands-on experience designing and building production data models, pipelines, and analytical layers.</li> <li><strong>Tools &amp; Platforms:</strong> Experience with orchestration/transformation tools (DBT, Airflow, or similar) and cloud data platforms (Databricks, Snowflake, BigQuery, or AWS).</li> <li><strong>Engineering Standards:</strong> Strong understanding of data modeling, data quality, testing, and maintainability best practices.</li> <li><strong>AI Tooling &amp; Automation:</strong> Hands-on experience integrating AI development tools and agents (e.g., Cursor, Claude agents, GitHub Copilot) into daily workflows to accelerate coding, debugging, and pipeline development.</li> <li><strong>Data Analysis Capabilities: </strong>Strong analytical mindset with the ability to independently explore and analyze complex datasets, summarize findings, and extract meaningful insights as needed.</li> <li><strong>Problem-Solving &amp; Communication: </strong>Demonstrated ability to work independently, manage tight timelines, and translate ambiguous analytical needs into robust technical frameworks. Excellent communication skills for bridging technical and non-technical stakeholders.</li> </ul> <p><strong>Nice to have</strong></p> <ul> <li>Prior experience or a strong passion for healthcare, AI, or the medical field.</li> <li>Proven experience in project management or technical team leadership.</li> </ul> </div> <h4>Working at Aidoc</h4> <div class="comeet-position-workingataidoc comeet-user-text"> <p><strong>Our Perks:</strong></p> <ul> <li>Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives)</li> <li>We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees.</li> <li>Amazing and healthy breakfasts and lunches prepared daily by our personal chef!</li> <li>Stocked up kitchen &amp; meal card</li> <li>Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes.</li> <li>Amazing culture - collaborative, transparent &amp; fun!</li> <li>Attractive compensation package &amp; benefits</li> </ul> </div><div class="content-conclusion"><p><em>Aidoc is deeply committed to creating an inclusive&nbsp;workplace, and to the principle of equal