[Remote] Senior Clinical Data Research Engineer

Note: The job is a remote job and is open to candidates in USA. Cytovale is a company focused on innovative medical solutions, and they are seeking a Senior Clinical Data Research Engineer to contribute to their Medical Affairs department. The role involves data analysis and curation from large clinical datasets to inform reports, presentations, and clinical trial designs.ResponsibilitiesInterpret clinical case reports and develop an understanding of clinical science of immune-mediated conditions, including sepsis, to inform study design and content of case report formsSupport the design, interpretation, reporting, and publication of clinical studies, including detailed participation in clinical endpoint design and process, supporting EDC builds, and study executionPerform data analysis and develop data-driven models for disease and outcome trends, value proposition, and assay clinical utilitySupport quality improvement activities for customers by building systems and tools for post-implementation data analysisUtilize data to track the performance and effectiveness of the IntelliSep solution in improving clinical outcomes, operational efficiency, and financial performance, and provide insights into customer-related metrics and the potential impact on patient outcomes and hospital reimbursementCollaborate with cross-functional teams to gather data and gain insights into current-state workflows and performance related to sepsis management and clinical workflows within the emergency departmentAppropriately apply visualization best practices and data storytelling techniques and deliver a clear and concise presentation of findings tailored to the audienceDevelop documentation and methodologies for analyses and deliverablesDevelop statistical models using clinical and biological data to inform clinical trial designWrite statistical analysis plans, including statistical methodology and programming procedureContribute analysis and graphs to educational and marketing materials, company reports, and scientific publicationsSkillsBachelor's degree required in biomedical engineering, bioengineering, or a related field; Master's or PhD preferred, particularly in a quantitative or life sciences discipline5+ years of medical device related experience working with clinical data and complex diseasesProficiency in coding for data analysis using Python, including data science packages and tools (pandas, numpy, matplotlib, scikit-learn) requiredExperience with SQL and relational databases requiredStrong analytical skills with the ability to interpret and present data effectivelyExperience with designing research studies and interpreting dataKnowledge of statistics at the level needed for scientific publications (t-tests, survival analysis, regressions, etc.) is requiredA strong desire to work in a small, fast-paced environment of a late-stage startupCandidate must be able to function as an individual contributor with minimal direct oversightA passion for understanding complex issues with a data-driven approach, experimenting, and iterating on different ways to solve a problemMaster's or PhD preferred, particularly in a quantitative or life sciences disciplineFamiliarity with AI/ML tools and large language model (LLM) applications a plusA deep background in statistics is a plusBenefitsThis is a remote role.Company OverviewCytoVale is a medical technology company that focuses on advancing early detection technologies to diagnose immune-mediated diseases. It was founded in 2013, and is headquartered in South San Francisco, California, USA, with a workforce of 51-200 employees. Its website is http://www.cytovale.com/.Company H1B SponsorshipCytovale has a track record of offering H1B sponsorships, with 2 in 2025, 3 in 2023, 1 in 2022. Please note that this does not guarantee sponsorship for this specific role.