How will this role have an impact?

We are looking for a highly motivated and talented Senior Analytics Consultant to join our fast-growing organization. The Senior Analytics Consultant will be a key person on the Signify Intelligence team that evaluates the impact of our population health initiatives and helps the organization make data-driven decisions to drive better patients’ outcomes. The successful candidate will have extensive knowledge of and experience in working with large healthcare dataset and conducting statistical analysis, and possess strong programming skills.

This position can be remote, but preferences will be given to candidates located in Dallas, TX, Fort Myers, FL, and New York

What will you do?

• Analyze various sources of patient care and claims data, including 100% Medicare data or VRDC, to provide actionable insights to stakeholders
• Conduct descriptive and predictive analyses to identify opportunities to target population health interventions, improve care delivery, contribute to product and services development, and inform Signify Health’s growth strategy
• Designing field experiments, including randomization and quasi-experimental approaches. Monitoring study implementation and data collection. Designing and executing rapid cycle data analyses.
• Assist with model development for identifying and implementing clinically viable tools and initiatives for provider behavior change
• Proactively identify and communicate issues affecting a project plan
• Prepare comprehensive documented observations, analyses and interpretations of results including technical reports, summaries and quantitative analyses
• Present analysis results to internal and external audiences, including company executives, subject matter experts, delivery teams, and clinical teams within Signify Health

We are looking for someone with:

Required Education and Experience:

• Bachelor’s Degree or higher in Mathematics, Statistics, Actuarial Science or closely related field.
• 3-6 years of relevant industry experience.
• Excellent quantitative analysis abilities, grounded in epidemiology, biostatistics, econometrics, health informatics, healthcare analytics or related field.
• Strong SQL, SAS, Python, or R skills, ability to perform effective querying involving multiple tables and subqueries.
• Demonstrated ability to conduct nuanced analyses to produce accurate and unbiased results and tell the story of those results in data visualizations and reports.
• Expertise in descriptive and predictive analysis methods. Experience with regression and classification techniques.
• Experience with causal analysis including designing and conducting experimental and quasi-experimental studies (e.g., randomized trials; regression discontinuity, difference-in-differences, instrumental variables, and matched designs).
• Deep experience with healthcare data sources such as claims, electronic health record, event notification, clinical, and patient reported data. Experience with commercial payors’ data and programs highly preferred.
• Advanced data manipulation and data mining skills, including experienced level in SQL programming, and R or Python.
• Knowledge of standard methods for measuring health care utilization, spending, quality, and outcomes; risk adjustment; provider profiling; and related analytical tasks.
• Examine, interpret and report results of analytical initiatives to stakeholders.
• Excellent oral and written communication skills; ability to present complex information in an understandable and compelling manner
• Ability to work independently and in team environment
• Proven ability to work in a fast-paced environment where client satisfaction is key

Preferred Education and Experience:

• Master’s Degree or higher in Mathematics, Statistics, Actuarial Science or closely related field.
• Experience with VRDC (CMS 100% Research Identifiable Files RIF) and/or LDS (5% Sample Data)
• Preferred experience in one or more of the following areas:
  • Medicare Advantage, ACO, MSSP
  • Healthcare Economics
  • Pricing
  • Reserving
  • Forecasting
  • Data Analytics
  • Prior experience in value-based care settings.
  • Actuarial background is preferred but not required
  • Proficient in Excel, Word and PowerPoint software

About us:

Signify Health is helping build the healthcare system we all want to experience by transforming the home into the healthcare hub. We coordinate care holistically across individuals’ clinical, social, and behavioral needs so they can enjoy more healthy days at home. By building strong connections to primary care providers and community resources, we’re able to close critical care and social gaps, as well as manage risk for individuals who need help the most. This leads to better outcomes and a better experience for everyone involved. 

Our high-performance networks are powered by more than 9,000 mobile doctors and nurses covering every county in the U.S., 3,500 healthcare providers and facilities in value-based arrangements, and hundreds of community-based organizations. Signify’s intelligent technology and decision-support services enable these resources to radically simplify care coordination for more than 1.5 million individuals each year while helping payers and providers more effectively implement value-based care programs. We are committed to equal employment opportunities for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.

To learn more about how we’re driving outcomes and making healthcare work better, please visit us at www.signifyhealth.com.