Data Scientist

🔥 12 hours ago

🇺🇸 United States – Remote

💵 $135k - $155k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 3%

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Calyxo, Inc.

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2016

🏥 Healthcare

💼 Consulting

⚕️ Healthcare Insurance

Healthcare • Consulting • Healthcare Insurance

Calyxo, Inc. is a company focused on revolutionizing kidney stone care through innovative medical technology. Their flagship product, the CVAC System, is designed to efficiently clear kidney stones using a minimally invasive procedure called the SURE Procedure. This procedure integrates ureteroscopy, laser lithotripsy, microjet irrigation, dynamic aspiration, and stone collection to provide superior stone clearance rates compared to traditional methods. Backed by clinical evidence, Calyxo, Inc. aims to set a new standard in the management of kidney stone patients.

📋 Description

• Support evidence generation across the medical device product lifecycle • Transform real-world, clinical, and preclinical data into reliable, reproducible datasets, analyses, and insights • Translate research and business questions into cohort definitions, data requirements, analytic plans, and deliverables • Assess availability, provenance, quality, and suitability of real-world data, EHR records, claims data, clinical data, and other sources • Build, validate, and maintain reproducible workflows for data extraction, transformation, cohort construction, data-quality checks, and analysis-ready datasets • Develop, validate, and document workflows for structured clinical data and unstructured notes, including clinical concept extraction and NLP where appropriate • Support real-world evidence and post-market analyses, including trend, subgroup, and evidence-synthesis analyses • Provide biostatistical support for preclinical and clinical studies, including protocols, study design, endpoints, analysis populations, sample size or precision considerations, and data-collection strategies • Support Statistical Analysis Plans, programming specifications, analysis datasets, table shells, and analysis documentation • Review study data and structures for quality, completeness, consistency, and alignment with planned analyses; identify and coordinate issue resolution • Perform and quality-check descriptive, inferential, interim, final, sensitivity, subgroup, and study-specific analyses • Interpret and communicate results and contribute to study reports, clinical evaluation materials, regulatory submissions, publications, abstracts, posters, and presentations • Build and implement secure data workflows with IT and external data partners, including access, storage, audit logging, permitted use, onboarding, and data transfer • Maintain documentation of data definitions, source systems, transformations, statistical methods, assumptions, quality checks, and results • Apply quality-control practices and escalate material issues and risks • Contribute to standards, templates, workflows, and best practices for data science and biostatistical analyses • Present analytical findings, assumptions, limitations, and recommendations to project teams and internal audiences • Report to the Manager, Biostatistics

🎯 Requirements

• Bachelor’s degree in data science, statistics, biostatistics, computer science, epidemiology, public health, or a related quantitative field, plus 7 years of relevant experience; or a master’s degree in a related field, plus 5 years of relevant experience • Practical experience using R to prepare, analyze, visualize, and validate complex datasets • Experience translating research questions into well-defined datasets, analysis plans, and transparent, reproducible analytical workflows • Experience with statistical analysis of clinical, preclinical, observational, or other health-related data • Working knowledge of study design, endpoint definition, analysis planning, and interpretation of clinical or preclinical study data • Ability to develop, review, and document statistical programs and analytical outputs with appropriate quality control and traceability • Strong data-quality, documentation, problem-solving, and communication skills • Ability to work independently while collaborating effectively in a cross-functional team environment • Full-time employment • Ability to travel up to 10% of the time • Legal authorization to work in the United States is required • Preferred: Master’s degree or PhD in biostatistics, statistics, epidemiology, data science, or a related quantitative field • Preferred: Familiarity with SAS, Python, and SQL • Preferred: Experience with real-world data, EHR records, claims data, clinical trial data, or other longitudinal healthcare data • Preferred: Familiarity with observational study methods and real-world evidence generation • Preferred: Experience with clinical text, natural language processing, regular expressions, or clinical concept extraction • Preferred: Experience supporting preclinical or clinical study design, statistical analysis plans, sample size or precision calculations, or statistical reporting • Preferred: Experience creating Tables, Listings, and Figures or contributing to clinical study reports, publications, abstracts, posters, or regulatory submissions • Preferred: Experience working in a medical-device, clinical-research, pharmaceutical, or other regulated environment • Preferred: Familiarity with applicable clinical research and data standards, including GCP, ISO 14155, ICH E9, and relevant FDA guidance

🏖️ Benefits

• Variable incentive plan • Stock options • 401(k) • Healthcare insurance • Paid vacation • Constant learning and dynamic challenges for professional growth • Diverse work environment with experienced leaders • Opportunity to shape company culture