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Data Scientist
@ WellHealth

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Summary

$125,000 - $145,000
Boston, New York
Hybrid
Junior
Full-time

About the Company

Company Name: WellHealth

Industry: Healthcare

Size: 201-500 employees

Overview: All-in-one health guidance platform

Benefits

A hybrid work policy, 18 days of paid time off, 9 paid holidays, Volunteer Time Off, free coffee and snacks, parental leave, health, dental, and vision insurance, tax-advantaged HSA or FSA, 401(k), short- and long-term disability and life insurance, Learning Time Off.

Perks: Free coffee and snacks, fun social events, Learning Time Off.

Job Description

We’re looking for a Data Scientist to join our Health Outcomes and Business Intelligence team. As a member of this team, you will be responsible for building and maintaining our data infrastructure for analyzing healthcare costs using administrative claims data.

You will maintain industry standard healthcare analytics tools as well as develop innovative techniques for surfacing insights and opportunities. Develop infrastructure to continuously monitor trends and identify opportunities in healthcare costs via administrative claims data using machine learning, business intelligence tools, statistics and artificial intelligence.

Apply classification systems (e.g. NYU non emergent algorithm) and tools to administrative claims data to leverage and scale existing data and generate insights. Synthesize qualitative and quantitative information from administrative claims data, in addition to a wide range of disparate data sources including product data, academic literature, clinical trial results, and market research.

Collaborate with cross-functional teams to contribute to and meet business objectives. Take personal responsibility for keeping all Well systems and data, including sensitive member data, secure and safe, according to Well data and security policies and HIPAA guidelines.

Responsibilities

Building and maintaining data infrastructure, analyzing healthcare costs, developing innovative techniques for insights, collaborating with cross-functional teams, ensuring data security.

Qualifications

Experience in healthcare analytics, knowledge of administrative claims data, advanced SQL skills, experience with R and Python, strong communication skills.

Education Level: Bachelor's Degree