Health Analytics & Research Lead
CORMAC · United States
- Hybrid
- Full-time
- $150,000 / year
- United States
Job highlights
- Lead health data analytics and research for federal agencies.
- Develop data management and analytics systems.
- Utilize machine learning and NLP techniques.
- Collaborate with clinical experts and stakeholders.
- Create impactful reports and visualizations.
About the role
Health Analytics & Research Lead
CORMAC is seeking a motivated and driven Health Analytics & Research Lead to join our team supporting Federal Healthcare Agencies in the development and deployment of data management and analytics systems. This position will lead the practice/team and shall demonstrate experience in data analytics, machine learning, natural language processing, and HL7 CDA and FHIR. In this role, you and your team of highly talented individuals will work together to achieve success in the reporting, research and analytics of standardized assessment data, quality measure data, resource use, and other measures of data.
Responsibilities
- Provide analytical oversight and quality assurance across multiple Federal Agency reporting programs.
- Provide technical leadership on promoting data driven decision making that corresponds with Federal Agency strategic goals and direction.
- Coordinate analytic team initiatives to increase data availability, including NLP feasibility studies, data mining techniques and AI in Patient Safety Events (PSE).
- Engage with clinical subject matter experts to assist with design and interpretation of analyses and to identify potential improvements to data collection and refinements.
- Respond to requests made to Federal Agencies by priority audiences.
- Translate product ideas into detailed requirements, prototypes, and strategy.
- Reconcile quality reporting data from each provider to determine compliance with in quality reporting requirements through data analytic methodologies.
- Lead publications from analytic planning to production (‘chartbooks’, ‘dashboards’ and ‘spotlights’).
- Author educational briefs.
- Assess and report on the feasibility of using unstructured data in analysis.
- Synthesize and process large datasets from multiple data sources with in SAS9.4 Windows.
- Build quantitative models with data and communicate the results of those models to decision-makers.
- Ensure the accuracy of analytic logic and documentation as a peer reviewer.
- Lead modernization of public-facing dashboards and publications for more user-friendly visualizations and informative products.
- Author in-depth spotlights to provide new analyses and highlight potential disparities in patient safety outcomes.
- Lead integration of data across multiple versions of Common Formats to broaden analytic scope.
Required Skills & Experience
- At least ten (10) years of working experience in data analytics in a leadership role working in Data Science, Computer Science, Information Technology, Statistics, Health informatics, or Patient safety, and a minimum education level of a master’s degree; however, a PhD is preferred.
- Supporting Public health agencies under HHS such as AHRQ, CMS, CDC, NIH is preferred.
- Excellent communication skills in both verbal and written form
- Leadership skills working on promoting data driven decision making that corresponds with client’s strategic goals.
- Ability to develop and present reports and presentation to federal agencies and other stakeholders in a clear, concise, and easy to understand manner.
- Level of understanding of SQL, reporting services, Tableau, or any other data analysis and visualization tools
- Knowledge of AI, AI executive order, machine learning techniques, especially deep understanding of their benefits and drawbacks in real-world applications
- Programming/coding skills with languages such as SAS, R, Python including experience with Macros and SQL/PROC SQL.
- Practical experience with AWS Cloud, ETL, data processing, and database programming.
- Experience conducting quality reviews of code, both from peers and self.
- Exposure to Agile and Use of JIRA
Why CORMAC
At CORMAC, we leverage the power of data management and analytics to enable our customers to achieve their strategic goals. With proven expertise in health information technology (HIT), human-centered design principles, and Agile development methodologies, we deliver complex digital solutions to solve some of the most challenging problems facing public healthcare programs today.
Position Requires Employment Eligibility Verification /E-Verify Participation/EEO
As an Equal Employment Opportunity employer, CORMAC provides equal employment opportunity to all employees and applicants without regard to an individual's protected status, including race/ethnicity, color, national origin, ancestry, religion, creed, age, gender, gender identity/expression, sexual orientation, marital status, parental status, including pregnancy, childbirth, or related conditions, disability, military service, veteran status, genetic information, or any other protected status.
Key skills/competency
- Health Analytics
- Research Leadership
- Data Management
- Machine Learning
- Natural Language Processing
- HL7 CDA & FHIR
- Data Visualization
- SQL
- SAS
- Python
Skills & topics
- Health Analytics
- Research Lead
- Data Science
- Machine Learning
- Natural Language Processing
- Federal Healthcare
- Data Management
- HL7
- SAS
- Python
- Leadership
- Analytics
- Data Visualization
- SQL
- Remote
How to get hired
- Tailor your resume: Highlight leadership experience in data analytics, machine learning, and NLP, specifically for federal healthcare agencies.
- Showcase technical skills: Emphasize your proficiency in SAS, R, Python, SQL, and data visualization tools like Tableau.
- Demonstrate leadership: Provide examples of leading analytics teams and driving data-driven decision-making with federal clients.
- Highlight relevant experience: Mention any experience supporting HHS agencies (AHRQ, CMS, CDC, NIH) and working with HL7 standards.
- Prepare for interviews: Be ready to discuss your approach to data analysis, research leadership, and translating complex findings for diverse audiences.
Technical preparation
Master analytical and machine learning techniques.,Practice coding in SAS, R, and Python.,Familiarize with HL7 CDA and FHIR standards.,Review AWS Cloud, ETL, and SQL skills.
Behavioral questions
Describe leading a data analytics team.,How do you ensure data quality and accuracy?,Explain a complex analysis to non-technical people.,How do you translate product ideas into requirements?
Frequently asked questions
- What specific federal healthcare agencies does CORMAC support for this Health Analytics & Research Lead role?
- CORMAC supports various Federal Healthcare Agencies. While the job description doesn't list all of them, it specifically mentions that supporting agencies like AHRQ, CMS, CDC, and NIH is preferred. You should be prepared to discuss your experience with these or similar public health agencies.
- What are the key technical skills required for the Health Analytics & Research Lead position at CORMAC?
- The role requires strong skills in data analytics, machine learning, natural language processing (NLP), and familiarity with HL7 CDA and FHIR standards. Proficiency in programming languages like SAS, R, and Python, along with SQL, and data visualization tools such as Tableau, is essential. Experience with AWS Cloud and ETL processes is also noted.
- Is a PhD required for the Health Analytics & Research Lead role at CORMAC?
- A Master's degree is the minimum educational requirement, with a preference for a PhD. If you have a Master's and extensive relevant leadership experience, you should still consider applying and highlighting your qualifications.
- What kind of leadership experience is CORMAC looking for in a Health Analytics & Research Lead?
- CORMAC is seeking at least ten years of working experience in data analytics with a focus on leadership. This includes experience in Data Science, Computer Science, IT, Statistics, Health Informatics, or Patient Safety, demonstrating the ability to lead teams and promote data-driven decision-making aligned with client goals.
- How does CORMAC utilize data and analytics to support their clients?
- CORMAC leverages data management and analytics to help customers achieve strategic goals. They have expertise in health information technology, human-centered design, and Agile methodologies to deliver digital solutions for public healthcare programs, focusing on areas like standardized assessment data, quality measures, and resource utilization.
- Can you explain the role of Natural Language Processing (NLP) in this Health Analytics & Research Lead position?
- NLP is a key component, as the role involves coordinating initiatives such as NLP feasibility studies and AI in Patient Safety Events (PSE). You'll also assess the feasibility of using unstructured data in analysis, which directly utilizes NLP capabilities.
- What is the work arrangement for the Health Analytics & Research Lead role at CORMAC?