Compensation Overview

Salary Range: 155000 to 167000 (Currency: USD) (Pay period: per-year-salary)

Requirements

• Proven experience as a Data Scientist with a focus on healthcare data analysis and modeling.
• 3 - 8 years of experience in two or more programming languages such as SQL, Python, Scala, Java or R, and familiarity with data manipulation and visualization libraries/tools.
• 3 - 8 years of experience in Statistical analysis, Data Modeling, Data Extraction, Data Mining, and Data Manipulation.
• Solid understanding of machine learning techniques (e.g., regression, classification, clustering) and experience applying them to healthcare data. 
• Hands-on experience with healthcare data standards (e.g., HL7, FHIR), electronic health records (EHR) and other healthcare data sources.
• Excellent problem-solving and analytical skills, with the ability to communicate complex data insights in a clear and accessible manner to stakeholders with varying levels of technical expertise.
• The ability to identify key challenges, formulate data-driven solutions, and work with diverse stakeholders to implement those solutions.
• Experience in working with sensitive patient data while ensuring compliance and data security.
• A passion for using data science to drive positive change and make a meaningful difference in people’s lives.
• Strong people skills, specifically in collaboration and teamwork.
• High level of curiosity, creativity, technical vision, and problem-solving capabilities; have a customer-first and learner’s mindset, and value teaching others.
• Familiarity with big data tools and platforms

Job Responsibilities

• 
  
Data Analysis and Model Development:
• Utilize advanced statistical and machine learning techniques to analyze healthcare data sets and extract actionable insights.
• Develop predictive models and algorithms to identify trends, patterns, and correlations in healthcare data.
• Evaluate and validate model performance using appropriate metrics and methodologies.
• Lead ongoing tracking and monitoring of performance of decision systems and statistical models.
• Develop ETL (extract, transform, load) specifications to go from raw data to research-ready datasets


Cross-Functional Collaboration and Strategy:
• Collaborate cross-functionally with stakeholders and leadership to design and implement data-driven solutions that address complex healthcare challenges.
• Develop and drive adoption of enterprise-wide analytics to support strategic execution using prescriptive and predictive analytics with a focus on Healthcare access, Healthcare outcomes, and SDoH domains.
• Engage and enable team members to access analytics to facilitate faster data-driven decision-making wherever and whenever they need it.


Data Integration and External Data Analysis:
• Analyze and incorporate external data sets that may augment the power of CareMessage internal data such as social determinants of health data, claims data, environmental data, outcomes data.


Communication and Insights:
• Interpret complex data analyses by applying findings to contextual settings; and developing insights, reports, and presentations telling a compelling story to stakeholders to enable and influence decision-making.


Continuous Improvement and Learning:
• Stay updated with the latest advancements in data science, healthcare analytics, and regulatory requirements to ensure compliance and relevance.
• Job shadow other functional areas to learn from domain experts.

Within 1 Month You’ll:

• Gain a foundational understanding of our product, customers and patients.
• Meet key internal stakeholders and begin to understand policies and protocols.
• Establish rapport with existing Engineers across various product teams.
• Build out basic understanding of existing data.

Within 3 Months You’ll:

• Gain a strong understanding of our technical environment and identify areas for growth in our processes, systems and/or tooling for data analysis.
• Develop ETL specifications in conjunction with a Data Engineer to allow the implementation of a data pipeline to create a research-ready dataset.
• Work with a business unit to create at two or more reports to facilitate faster data-driven decision-making.

Within 6 Months You’ll:

• Have a deep understanding of the product platform, our data needs and work in conjunction with management to refine the plan to meet our long term data goals.
• Utilize Data Science skills to generate a set of actionable insights for a functional area.
• Analyze and incorporate health outcomes data to augment CareMessage telemetry data to illustrate improvements in patient health by usage of the CareMessage platform.