Senior Analyst, Research & Data Scientist

Posted 9 Days Ago
Miami, FL, USA
In-Office
Senior level
Healthtech
The Role
Design and run advanced statistical and machine learning analyses on large healthcare datasets to evaluate programs, inform policy, and produce visualizations and reports. Collaborate with clinical, policy, and IT teams, ensure data quality and privacy compliance, mentor junior analysts, and translate findings into actionable recommendations to improve care delivery.
Summary Generated by Built In

We are seeking a Senior Analyst, Research & Data Scientist  to join our team at Independent Living Systems (ILS). ILS, along with its affiliated health plans known as Florida Community Care and Florida Complete Care, is committed to promoting a higher quality of life and maximizing independence for all vulnerable populations.

About the Role:

The Senior Analyst, Research & Data Scientist plays a critical role in advancing healthcare outcomes by leveraging data-driven insights and rigorous research methodologies. This position is responsible for designing, conducting, and interpreting complex analyses that inform strategic decisions and policy development within the health care and social assistance sector. The role requires synthesizing large datasets from diverse sources to identify trends, evaluate program effectiveness, and support evidence-based interventions. Collaboration with cross-functional teams, including clinical experts, policy makers, and IT professionals, is essential to translate analytical findings into actionable recommendations. Ultimately, this position drives innovation and continuous improvement in healthcare delivery through sophisticated data science techniques and research excellence.

Minimum Qualifications:

  • Bachelor’s degree in Data Science, Statistics, Public Health, Epidemiology, Computer Science, or a related field.
  • At least 5 years of professional experience in data analysis, research, or data science within the healthcare or social assistance industry.
  • Proficiency in statistical programming languages such as R, Python, or SAS.
  • Strong experience with data visualization tools like Tableau, Power BI, or equivalent.
  • Demonstrated ability to manage and analyze large healthcare datasets and apply advanced analytical techniques.
  • Strong experience with SQL and working with relational databases.
  • Demonstrated ability to develop and apply statistical and machine learning models.
  • Relevant experience may substitute for the educational requirement on a year-for-year basis.

Preferred Qualifications:

  • Master’s degree or higher in a relevant discipline such as Biostatistics, Health Informatics, or Data Science.
  • Experience with machine learning frameworks and big data technologies (e.g., TensorFlow, Spark).
  • Familiarity with healthcare regulations and standards including HIPAA and data governance best practices.
  • Prior experience working in interdisciplinary teams within healthcare settings.
  • Publication record or contributions to peer-reviewed research in healthcare analytics or related fields.

Responsibilities:

  • Develop and implement advanced statistical models and machine learning algorithms to analyze healthcare data and generate predictive insights.
  • Design and conduct quantitative and qualitative research studies to evaluate health programs, policies, and interventions.
  • Collaborate with stakeholders to define research questions, data requirements, and project objectives aligned with organizational goals.
  • Prepare comprehensive reports, visualizations, and presentations to communicate findings clearly to both technical and non-technical audiences.
  • Ensure data quality, integrity, and compliance with privacy regulations while managing large and complex datasets.
  • Stay current with emerging trends and best practices in data science, healthcare analytics, and research methodologies.
  • Mentor junior analysts and contribute to the development of data science capabilities within the team.

Skills Required

  • Bachelor's degree in Data Science, Statistics, Public Health, Epidemiology, Computer Science, or related field (or equivalent experience)
  • At least 5 years professional experience in data analysis, research, or data science within healthcare or social assistance
  • Proficiency in statistical programming languages such as R, Python, or SAS
  • Strong experience with data visualization tools like Tableau or Power BI
  • Strong experience with SQL and working with relational databases
  • Demonstrated ability to manage and analyze large healthcare datasets and ensure data quality and privacy compliance
  • Demonstrated ability to develop and apply statistical and machine learning models
  • Master's degree in Biostatistics, Health Informatics, Data Science, or higher
  • Experience with machine learning frameworks and big data technologies (e.g., TensorFlow, Spark)
  • Familiarity with healthcare regulations and standards including HIPAA and data governance best practices
  • Publication record or contributions to peer-reviewed research in healthcare analytics
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The Company
HQ: Miami, Florida
811 Employees
Year Founded: 2001

What We Do

Independent Living Systems, LLC, offers a comprehensive range of clinical and third-party administrative services to managed care organizations and providers that serve high-cost, complex member populations in the Medicare, Medicaid and Dual-Eligible Market. Independent Living Systems has been an industry leader in managing home and community-based programs for over 16 years. Leveraging ILS’ award winning technology platform, ILS provides assistance beyond the clinical realm at every stage of care from hospitalization to the treatment of chronic illnesses to personalized care management including nutritional support. As one of the country’s leading providers of Nutritional Support Services and medically tailored meals, ILS provides nutrition counseling and home delivered meals for individuals transitioning from acute settings to the home as well as for those combatting the effects of one or more chronic diseases. In partnership with health plans, providers, hospitals, and pharmaceutical and medical device companies, ILS provides solutions aimed at improving health outcomes while rebalancing costs. ILS’ suite of products and services include: MLTSS - Managed Long-Term Services Supports Suite of solutions including assessments, care management, and coordination of home and community-based services, care planning, and back-office support CCM - Comprehensive Care Management A streamlined solution for ongoing care management and care optimization targeted towards special needs populations and special needs plans Meals and Nutrition One of the nation’s largest nutritional providers delivering consistent, high-quality therapeutic meals to elderly and at-risk populations TPA – Third Party Administration A fully integrated business and technology offering to support all administrative and financial reporting requirements of health plans and risk bearing entities MSO – Management Services Organization Population and provider-based interventions to address utilization and monitor unit costs of services For more information please contact us via email at [email protected].

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