Payer Healthcare Data Scientist

PineQ Lab Technology; Tampa (FL); On-site; USD 120,000 - 180,000; Full time

Job summary

PineQ Lab Technology is seeking a senior data science leader in Tampa to apply advanced ML methods to vast claims and clinical data. You will generate actionable insights to reduce healthcare costs and improve population health, lead teams, manage client expectations, and drive analytic product development.

Present findings to senior stakeholders and collaborate with industry leaders. The role emphasizes experience in data science, NLP, and payer programs, with a strong consulting background

Qualifications

• Master's degree in statistics, computer science, applied mathematics or biotechnology preferred.
• At least 6 years of experience in data science and machine learning.
• Prior consulting or advisory firm experience preferred.
• Familiarity with NCQA HEDIS specifications and CMS Star Ratings.
• Knowledge of government payer programs and Medicaid.
• Experience with NLP or unstructured clinical text.
• Exposure to social determinants of health data integration.

Responsibilities

• Apply advanced data science and ML methodologies to analyze vast claims and clinical data.
• Generate actionable insights to reduce healthcare costs and improve population health.
• Lead and mentor teams while managing client relationships and expectations.
• Secure successful project execution while upholding quality standards.
• Collaborate with industry leaders to develop innovative analytics solutions.
• Present findings and strategies to senior stakeholders, including Chief Actuaries.
• Play a key role in developing new analytics products for payer strategies.
• Foster a culture of continuous improvement and knowledge sharing within the team.

Skills

Machine learning

Data science

NLP

Client management

Team leadership

Education

Master's degree in Statistics, CS, Applied Math, or Biotechnology

Job description

Apply advanced data science and machine learning methodologies to analyze vast claims and clinical data

Generate actionable insights aimed at reducing healthcare costs and enhancing population health

Lead and mentor teams while managing client relationships and expectations

Secure successful project execution while upholding quality standards

Collaborate with industry leaders to develop innovative analytics solutions

Present findings and strategies to senior stakeholders, including Chief Actuaries

Play a key role in the development of new analytics products for payer strategies

Foster a culture of continuous improvement and knowledge sharing within the team

Tech/Background:

Master's Degree in Statistics, Computer Science, Applied Mathematics, Biotechnology preferred

At least 6 years of experience in data science and machine learning

Prior consulting or advisory firm experience preferred

Contributing to commercial analytics product development

Familiarity with NCQA HEDIS specifications and CMS Star Ratings

Knowledge of government payer programs and Medicaid

Experience with NLP or unstructured clinical text

Exposure to social determinants of health data integration