Commercial Finance Manager
Magic Spoon
Senior Clinical Data Research Engineer
Cytovale
full-time
Posted on:
Origin: • 🇺🇸 United States • California
Visit company websiteJob Level
Senior
Tech Stack
NumpyPandasPython
About the role
- Interpret 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 forms
- Support the design, interpretation, reporting, and publication of clinical studies, including detailed participation in clinical endpoint design and process, supporting EDC builds, and study execution
- Perform data analysis and develop data-driven models for disease and outcome trends, value proposition, and assay clinical utility
- Support quality improvement activities for customers by building systems and tools for post-implementation data analysis
- Utilize 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 reimbursement
- Collaborate 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 department
- Appropriately apply visualization best practices and data storytelling techniques and deliver a clear and concise presentation of findings tailored to the audience
- Develop documentation and methodologies for analyses and deliverables
- Develop statistical models using clinical and biological data to inform clinical trial design
- Write statistical analysis plans, including statistical methodology and programming procedure
- Contribute analysis and graphs to educational and marketing materials, company reports, and scientific publications
Requirements
- A minimum of Bachelor’s degree in biomedical engineering, bioengineering, or related field
- An advanced degree is preferred
- A minimum of FIVE years of experience working with clinical data in a corporate setting
- Medical device or Diagnostics experience is ideal
- Proficiency in coding for data analysis using Python, including data science packages and tools (pandas, numpy, matplotlib) required
- Familiarity with version control tools (e.g., git) is preferred
- Strong analytical skills with the ability to interpret and present data effectively
- Experience with designing research studies and interpreting data
- Knowledge of statistics at the level needed for scientific publications (t-tests, regressions, etc.) is required; a deep background in statistics is a plus
- A strong desire to work in a small, fast-paced environment of a late-stage startup
- Candidate must be able to function as an individual contributor with minimal direct oversight
