Datavant is a data logistics company for healthcare whose products and solutions enable organizations to move and connect data securely. We are a data logistics company for healthcare whose products and solutions enable organizations to move and connect data securely. Datavant has a network of networks consisting of thousands of organizations, more than 70,000 hospitals and clinics, 70% of the 100 largest health systems, and an ecosystem of 500+ real-world data partners.
By joining Datavant today, you’re stepping onto a highly collaborative, remote-first team that is passionate about creating transformative change in healthcare. We hire for three traits: we want people who are smart, nice, and get things done. We invest in our people and believe in hiring for high-potential and humble individuals who can rapidly grow their responsibilities as the company scales. Datavant is a distributed, remote-first team, and we empower Datavanters to shape their working environment in a way that suits their needs.
The Payer Solutions team is actively looking for a detail-oriented and passionate data scientist to become a valuable part of our expanding team. Our focus involves identifying and creating opportunities to expand risk adjustment and quality digital use cases while also assessing and quantifying our programs' comprehensive efforts and effects on patient health status and revenue. If you are an experienced data analyst with deep understanding of Risk Adjustment data modeling, please consider applying for this role!
You will:
- Analyze large datasets to identify trends, patterns, and insights about Coding reporting needs to enhance productivity and quality, and turn those needs into actionable reporting.
- Provide real-time data insights to business on demand through ad-hoc queries
- Collect, interpret, and aggregate data from multiple data sources for supporting risk adjustment medical record coding and quality processes
- Design, develop, test, and deploy reporting to support risk adjustment business users needs
- Look to automate a vast majority of reporting.
- Identify trends in the reporting and work to partner with the teams to improve productivity and quality.
- Run various risk adjustment models for Medicare Advantage, Medicaid or ACA to forecast patient risk scores and return on investment based on historical data and project variables.
- Work closely with cross-functional teams, including clients, to understand business needs, and determine the right methodology for analysis and assumptions to provide data-driven insights into program performance and partnerships.
- Create clear and concise reports to communicate findings and insights to both technical and non-technical stakeholders.
- Stay abreast of industry trends, new technologies, and methodologies to enhance the team's analytical capabilities.
What You Will Bring to the Table:
- Experienced (3+ years or more) in data analysis, database technologies (Oracle/MS SQL Server), SQL queries, and MS Excel
- Experience in risk adjustment (MA, ACA and MD) data analysis
- Thorough understanding of risk models including HCC, RxHCC, HHS-HCC and CDPS
- System architectural experience building end-to-end risk adjustment solutions and reporting packages
- Experience analyzing risk adjustment data for trends, disease/diagnosis prevalence and hierachy
- System architectural experience building end-to-end risk adjustment solutions and reporting packages
- Experience managing data flows for chart retrieval, RA coding, Hedis abstraction and quality
- Ability to build, architect and deliver robust customer facing reports and internal reports
- Experience in building queries to collect and interpret raw data from databases to support risk adjustment coding and medical record
- Ability to support major transformational program changes such as building new databases, supporting data governance in a cloud-based structure etc.
- Experience in using business intelligence, data visualization, query, analytic and statistical software to build solutions, perform analysis and interpret data (SSRS, Power BI, Tableau)
- Strong problem-solving skills with the ability to think critically and provide data-driven solutions.
- Expertise in the data cleaning, preprocessing, manipulation, integration, processing and interrogation of large datasets.
- Strong understanding of statistical probability distributions, bias, error, and power as well as sampling and resampling methods.
- Exceptional initiative and ability to solve problems independently, seek help when needed, and take ownership when navigating ambiguity.
- Excellent communication skills.
- Well-developed time management skills and demonstrable experience of prioritizing work to meet tight deadlines for client deliverables.
Bonus points if:
- An appreciation of the need for effective data privacy and security methods and an awareness of the relevant legislation.
- Experience with cloud services for storage and computing.
- Experience with machine learning algorithms.
- Knowledgeable in health plan operations and reporting.
We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.
Our compensation philosophy is to be externally competitive, internally fair, and not win or lose on compensation. Salary ranges for this position are developed with the support of benchmarks and industry best practices.
We’re building a high-growth, high-autonomy culture. We rely less on job titles and more on cultivating an environment where anyone can contribute, the best ideas win, and personal growth is driven by expanding impact. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated salary range for this role is $150,000-170,000.
At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your responses will be anonymous and used to help us identify areas of improvement in our recruitment process. (We can only see aggregate responses, not individual responses. In fact, we aren’t even able to see if you’ve responded or not.) Responding is your choice and it will not be used in any way in our hiring process.