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Lead Decision Scientist

SpringCube

Full time - Principal Engineer

Healthcare Services & Tech

United States, Boston - Massachusetts

Published 4 weeks ago

Salary: Disclosed upon interview

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview
A leading healthcare and consumer health organization is dedicated to creating a more connected, convenient, and compassionate health experience for millions of individuals. The organization leverages advanced analytics, clinical informatics, and AI to drive better health outcomes, improve access to care, and transform healthcare decision-making across its businesses.

Position Summary
The Analytics & Behavior Change (A&BC) team is focused on transforming clinical and behavioral data into actionable insights to improve health outcomes and business performance. The Lead Decision Scientist – Patient Insights Optimization will work closely with clinical data, engineering, and product teams to drive strategic decisions and deliver measurable impact across the organization.

Responsibilities

  • Oversee multiple analytics projects in healthcare and clinical data, ensuring high standards of rigor and execution
  • Provide technical leadership to a team of data and decision scientists, setting standards for code quality, testing, and review while remaining hands-on in analytical work
  • Define a roadmap that delivers ongoing value to stakeholders and enhances analytics engineering practices for scalable impact
  • Partner with product owners and engineering teams to design and productionize effective analytical solutions
  • Apply advanced statistical and mathematical methods to solve critical business problems
  • Communicate technical concepts and insights to diverse audiences through effective storytelling and data visualization
  • Maintain high-quality documentation of analytical work and team impact

Required Qualifications

  • 7+ years of relevant analytics experience
  • Proven experience leading analytics projects from concept to delivery with multiple stakeholders
  • Knowledge of analytics engineering best practices, including version control, testing, and CI/CD
  • Strong SQL skills for building efficient, maintainable analytical pipelines
  • Experience with at least one leading cloud platform (GCP, AWS, Azure) and data governance best practices
  • Proficiency in Python and standard data science libraries (NumPy, pandas, polars)
  • Strong written and verbal communication skills

Preferred Qualifications

  • Deep expertise in healthcare and clinical data, including FHIR and CCDA
  • Experience establishing engineering best practices in analytics teams
  • Familiarity with GCP tools such as BigQuery and Vertex AI
  • Hands-on experience with analytics workflow tools like dbt, Airflow, and Cloud Composer
  • Training in advanced statistics, machine learning, and optimization

Education Requirements

  • Bachelor’s degree or equivalent in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline
  • Master’s degree or Ph.D. preferred

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in globally.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
4. No Liability: SpringCube is not liable for inaccuracies.

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SpringCube is a technology recruitment firm and tech-focused career platform. Since 2001, we’ve connected top talent with leading companies across Singapore and Southeast Asia.

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