Data Scientist

July 13

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CareHarmony

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A Better Approach to Care Delivery Transformation

Care Coordination • Chronic Care Management • Case Management • Medicare • healthcare software

51 - 200

💰 $15M Series A on 2022-08

Description

• CareHarmony is seeking a talented and motivated Data Scientist to join our team. As a Data Scientist at CareHarmony, you will play a crucial role in leveraging data to make a positive impact on healthcare outcomes. • In this role, you will work closely with our data science team to analyze complex healthcare data, build predictive models, and generate actionable insights. You will have the opportunity to work with a diverse dataset, including patient interactions, electronic medical records (EMR), and outcomes data. • Key responsibilities include data cleaning and preprocessing, feature engineering, model development and evaluation, and presenting findings to both technical and non-technical stakeholders. You will collaborate with cross-functional teams to translate data insights into actionable strategies that improve patient care and coordination. • If you are passionate about using data to drive meaningful change in healthcare, and you thrive in a collaborative and innovative environment, we would love to hear from you!

Requirements

• Strong background in statistics, machine learning, and data analysis • Proficiency in programming languages such as Python or R • Experience working with large and complex datasets • Knowledge of statistical modeling techniques and experience building predictive models • Strong problem-solving and analytical skills • Ability to communicate complex findings to both technical and non-technical stakeholders • Experience with healthcare data and electronic medical records (EMR) is a plus

Benefits

• Opportunity to get in the early stage at a high-growth HealthTech company with extreme product market fit and exponential growth (we’re deployed at 80+ health systems across >25 states!) • You are trusted to take complete autonomy over data ingestion, data integration, and data-related API development. • Actively transform healthcare outcomes by solving real-world problems for millions of patients.