About Cardio Diagnostics
Cardio Diagnostics is a precision cardiovascular medicine company committed to making cardiovascular disease prevention and early detection more accessible, personalized, and precise. Our mission is to advance and commercialize our proprietary AI-driven Integrated Epigenetic-Genetic Engine™ (“Core Technology”) for cardiovascular disease, establishing ourselves as a leading medical technology company focused on improving prevention, diagnostics, and treatment in the field of cardiovascular health. For more information, please visit https://cdio.ai/.
Responsibilities:
- Perform analysis using real-world large healthcare databases (e.g., medical and pharmacy claims, electronic health records, ICD10 codes, billing codes, hospital discharge database, and registry, etc.).
- Analyze, interpret, and present data related to medical claims and encounters to support decision-making.
- Evaluate and interpret medical claims data to identify patterns, anomalies, and areas for improvement.
- Identify trends, generate reports, and develop compelling strategies using claims analysis to support sales activities.
- Develop and maintain reports and dashboards that provide insights into these claims, industry benchmarks, claims trends, identified trends etc.
- Develop and perform quality control practices to maintain data integrity and accuracy. Ensure that data handling and analysis comply with relevant regulations and standards, including HIPAA and other data protection laws.
- Participate in the development of HEOR research strategies that support the value proposition for product launches and label expansions.
- Implement health economics and outcomes studies from inception to completion, including preparing study protocols, conducting analysis, and preparing study reports, abstracts and manuscripts.
- Build value materials to meet evidentiary requirements (i.e. value dossiers, budget impact models, cost-effectiveness analyses, synthetic control studies, literature syntheses, etc.).
- Conduct literature search, review and synthesis; review and critique medical and evidence-based outcomes literature & analyses.
- Perform data cleaning, transformation, and management to ensure high-quality, consistent datasets for analysis and reporting.
- Generate clear and insightful reports and visualizations for both technical and non-technical stakeholders.
- Translate research findings and data-driven strategies into actionable recommendations for product development.
- Ensure high-quality deliverables by maintaining coding standards, performing regular code reviews, and following software development best practices.
- Collaborate closely with cross-functional teams, external partners, and customers to align on key evidentiary needs and support value demonstration.
- Ensure projects are completed on time and meet the specification of the request. Prioritize project tasks, manage timelines, maintain project plans and communicate status to team members and management.
- Conduct oral presentations for varied audience levels (lay persons, technical audience, medical audience, business decision-makers) in a clear, concise and engaging manner.
- Respond to questions and feedback from internal and external stakeholders and prospects.
- Adapt presentations to meet the needs of specific audiences or situations (e.g., benefits brokers vs employers vs healthcare providers vs healthcare leaders). Collaborate with other team members (e.g., subject matter experts) to ensure a successful presentation.
- Prepare briefings, slide presentations, website content, education materials and instructional materials as requested. Organize complex statistical and narrative reports, data analytics, charts and exhibits into a complete document suitable to present to stakeholders.
- Other duties, as assigned.
Qualifications:
- Bachelor of Arts or Science in data science, health economics, bioinformatics, biostatistics, epidemiology, public health, computer science or a related field, or a degree with over three years of relevant experience.
- Strong experience in HEOR research, including research design, data analysis, and evidence synthesis.
- Proven ability to translate complex findings into clear, actionable insights and strategic recommendations.
- Minimum of 3 years of experience with real-world claims data analysis.
- Knowledge of health care delivery systems, health care claims and encounter data and employer-sponsored health benefits (e.g., self-insured employers).
- Strong understanding of medical billing codes (e.g., ICD, CPT, HCPCS) and claims processing workflows.
- Familiarity with management of ancillary data sets such as pharmacy, EHR etc.
- Proficiency in R or Python (minimum 3 years) and hands-on experience with relevant data analysis libraries.
- Skilled in working with relational databases (minimum 3 years).
- Minimum of 3 years of experience with data visualization tools (e.g., Tableau, Power BI).
- Excellent communication skills, able to explain complex technical concepts to varied audiences.
- Self-driven, adaptable, and skilled in quickly learning new technologies, tools, and methodologies.
- Advanced attention to detail and management of workflow.
- Strong data analysis skills with expertise in manipulating and analyzing large data sets.
- Apply critical thinking to daily tasks.
- Flexible team player willing to do what it takes to get the job done; adaptable and enjoys a challenge.
- Experience demonstrating the ability to handle multiple tasks frequently with short timelines, to prioritize and organize work, and to complete assignments in a timely, accurate manner.
Preferred Qualifications:
- Advanced degree (Master's or Ph.D.)
- Experience in real-world evidence RWE studies, including designing and conducting research, data analysis, and evidence synthesis.
- A track record of peer-reviewed publications in HEOR and RWE or related fields.
- Deep understanding of regulatory and reimbursement environments.
- Over three years of experience working with real-world clinical data, including EHR data.
