Anthea is a Bermuda-based insurer developing life-insurance products denominated in cryptocurrencies, starting with Ethereum.
<p> </p> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 2">About </span><span data-ccp-parastyle="heading 2">QuantHealth</span></span></strong><span data-ccp-props="{"134233117":false,"134233118":false,"134245418":true,"134245529":true,"335559738":299,"335559739":299}"> </span></p> <p><span data-contrast="none">QuantHealth is a growing AI startup in the clinical trial space, leveraging AI, biomedical data, knowledge graphs, and real-world patient data to simulate and optimize clinical trials for pharmaceutical companies. </span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p> <p><span data-contrast="none">Our platform helps customers simulate clinical trials, reduce development risk and cost, shorten timelines, and improve the probability of clinical trial success.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> <br><br></span></p> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 2">About the Role</span></span></strong><span data-ccp-props="{"134233117":false,"134233118":false,"134245418":true,"134245529":true,"201341983":0,"335551550":1,"335551620":1,"335559685":0,"335559737":0,"335559738":299,"335559739":299,"335559740":279}"> </span></p> <p><span data-contrast="auto">As a Clinical Data Scientist in the Clinical Informatics Team (R&D), you will play a key role in building production-grade AI-powered data systems and intelligent clinical data workflows that transform complex real-world clinical data into structured, production-ready assets for QuantHealth’s clinical simulation platform.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p> <p><span data-contrast="auto">This role sits at the intersection of data engineering, applied AI, and biomedical data systems. You will work closely with clinical data scientists, Clinical Informaticians, DataOps, and engineering teams to develop and productionize intelligent workflows for large-scale clinical data processing, information extraction, data harmonization, and AI-assisted clinical data curation.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p> <p><span data-contrast="auto">The role focuses heavily on working with large-scale structured and unstructured healthcare data, including clinical notes, longitudinal patient records, biomedical literature, and real-world evidence datasets. You will design and maintain production-grade pipelines and AI workflows that balance extraction quality, scalability, operational reliability, and computational cost.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p> <p><span data-contrast="auto">The ideal candidate combines strong data science and data engineering capabilities with hands-on experience developing AI-powered data workflows using modern Python-based tooling and LLM technologies. Healthcare or biomedical data experience is a strong advantage, but we also welcome technically strong candidates with demonstrated ability to learn complex domains quickly.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p> <p><span data-contrast="auto">You will own AI-powered clinical data workflows end-to-end, from early prototyping through production deployment, monitoring, and iterative improvement.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p> <p><span data-ccp-props="{}"> </span></p> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 2">Responsibilities</span></span></strong><span data-ccp-props="{"134233117":false,"134233118":false,"134245418":true,"134245529":true,"201341983":0,"335551550":1,"335551620":1,"335559685":0,"335559737":0,"335559738":299,"335559739":299,"335559740":279}"> </span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">Design, develop, and maintain scalable AI/data pipelines and intelligent clinical data workflows for processing large-scale structured and unstructured clinical data.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":0,"335559739":0}"> </span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="2" data-aria-level="1"><span data-contrast="auto">Build production-grade LLM-based systems for clinical note extraction, phenotype extraction, entity normalization, literature mining, and biomedical information retrieval.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":0,"335559739":0}"> </span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="3" data-aria-level="1"><span data-contrast="auto">Develop automated clinical data curation systems and structured extraction workflows that transform highly heterogeneous, incomplete, and longitudinal real-world healthcare data into high-quality analytical assets.</span><spa