<div class="content-intro"><p>Calyxo, Inc. is a medical device company headquartered in Pleasanton, California, USA. The company was founded in 2016 to address the profound need for improved kidney stone treatment. Kidney stone disease is a common, painful condition that consumes vast amounts of healthcare resources each year. Our team is led by executives and investors with a proven track record of commercializing paradigm-shifting devices to meet unmet needs within urology.</p> <p>Are you ready to change the future of kidney stone treatment? We are seeking high achievers who want to be part of a dynamic team working in a fun, diverse atmosphere.</p></div><p><strong><span data-contrast="auto"><span data-ccp-parastyle="Normal (Web)">Summary:</span><span data-ccp-parastyle="Normal (Web)"> </span></span></strong><span data-ccp-props="{"134233117":true,"134233118":true,"335557856":16777215}"> </span></p> <p><span data-contrast="auto"><span data-ccp-parastyle="Normal (Web)">We are seeking a Data Scientist to support evidence generation across the medical device product lifecycle. This role, under the direction of the Manager of Biostatistics & Data Science, will transform real-world, clinical, and preclinical data into reliable, reproducible datasets, analyses, and insights that support research and cross functional business needs. </span></span><span data-ccp-props="{"134233117":true,"134233118":true,"335557856":16777215}"> </span></p> <p><span data-contrast="auto"><span data-ccp-parastyle="Normal (Web)">The ideal candidate brings strong hands-on data science and statistical skills, with the ability to translate research questions into fit-for-purpose datasets and analytical approaches. The role will support both real-world data initiatives and the statistical execution of preclinical and clinical studies, including but not limited to study design, endpoint definition, analysis planning, statistical programming, data review, interpretation, and reporting.</span></span><span data-ccp-props="{"134233117":true,"134233118":true,"335557856":16777215}"> </span></p> <p><span data-contrast="auto"><span data-ccp-parastyle="Normal (Web)">This individual will work closely with Scientific, Clinical, R&D, Regulatory, Quality, IT, and external data partners. Success in this role requires technical rigor, sound judgment, clear documentation, and the ability to communicate analytical results to both technical and nontechnical audiences.</span></span><span data-ccp-props="{"134233117":true,"134233118":true,"335557856":16777215}"> </span></p> <p><strong><span data-contrast="auto"><span data-ccp-parastyle="Normal (Web)">In This Role, You Will</span><span data-ccp-parastyle="Normal (Web)">:</span></span></strong><span data-ccp-props="{"134233117":true,"134233118":true,"335557856":16777215}"> </span></p> <p><strong><span data-contrast="auto"><span data-ccp-parastyle="Normal (Web)">Data Science and Real-World Evidence</span></span></strong><span data-ccp-props="{"134233117":true,"134233118":true,"335557856":16777215,"335559739":0}"> </span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="38" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"multilevel"}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto"><span data-ccp-parastyle="Normal (Web)">Translate research and business questions into cohort definitions, data requirements, analytic plans, and clear deliverables.</span></span><span data-ccp-props="{"134233117":true,"134233118":true,"335557856":16777215,"335559739":0}"> </span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="38" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"multilevel"}" data-aria-posinset="2" data-aria-level="1"><span data-contrast="auto"><span data-ccp-parastyle="Normal (Web)">Work with real-world data, EHR records, claims data, clinical data, and other relevant data sources to assess data availability, provenance, quality, and suitability for analysis.</span></span><span data-ccp-props="{"134233117":true,"134233118":true,"335557856":16777215,"335559739":0}"> </span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="38" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"multilevel"}" data-aria-posinset="3" data-aria-level="1"><span data-contrast="auto"><span data-ccp-parastyle="Normal (Web)">Build, </span><span data-ccp-parastyle="Normal (Web)">validate</span><span data-ccp-parastyle="Normal (Web)">, and </span><span data-ccp-parastyle="Normal (Web)">maintain</span><span data-ccp-parastyle="Normal (Web)"> reproducible workflows for data extraction, transformation, cohort construction, data-quality checks, and analysis-ready datasets.</span></span><span data-ccp-props="{"134233117":true,"134233118":true,"335557856":16777215,"335559739":0}"> </span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="38" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[82