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Morgan Health - Health Care Innovation - Senior Associate of Data Science & Research

JP Morgan Chase

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Morgan Health - Health Care Innovation - Senior Associate of Data Science & Research

full-timePosted: Nov 25, 2025

Job Description

Morgan Health - Health Care Innovation - Senior Associate of Data Science & Research

Location: Washington, DC, United States

Job Family: Analytics Solutions & Delivery

About the Role

Morgan Health, a division of JP Morgan Chase, is at the forefront of transforming healthcare through innovative financial solutions that enhance affordability, access, and quality of care. We are seeking a Senior Associate of Data Science & Research to join our Health Care Innovation team in Washington, DC. In this role, you will play a pivotal part in leveraging data analytics to drive groundbreaking research and partnerships in the healthcare sector. As a key contributor, you will apply advanced data science techniques to analyze complex healthcare datasets, informing strategies that integrate financial services with innovative care delivery models. This position offers the opportunity to work on high-impact projects that bridge the gap between finance and healthcare, ultimately improving outcomes for patients and providers alike. Your primary focus will be on developing sophisticated models to evaluate healthcare innovations, such as value-based payment systems and digital health technologies. You will collaborate closely with JP Morgan Chase's analytics experts, healthcare executives, and external partners to extract actionable insights from diverse data sources, including clinical records, claims data, and economic indicators. By combining financial acumen with data-driven research, you will help identify scalable solutions to pressing challenges like rising healthcare costs and disparities in care access. This role requires a blend of technical expertise and strategic thinking to support Morgan Health's mission of fostering a more equitable healthcare ecosystem. At JP Morgan Chase, we value innovation, integrity, and inclusion, providing a dynamic environment where your contributions can shape the future of healthcare finance. As a Senior Associate, you will have access to cutting-edge tools, mentorship from industry leaders, and opportunities to influence policy and investment decisions. If you are passionate about using data science to create meaningful change at the intersection of finance and health, join us in reimagining healthcare for a healthier world.

Key Responsibilities

  • Develop and implement data science models to analyze healthcare innovation trends, focusing on cost reduction and quality improvement in patient care
  • Collaborate with cross-functional teams at Morgan Health to design research studies that integrate financial services with healthcare delivery
  • Leverage large datasets from healthcare providers and payers to identify opportunities for innovative financing solutions in value-based care
  • Conduct advanced statistical analyses and machine learning to predict healthcare outcomes and optimize resource allocation
  • Partner with JP Morgan Chase's broader analytics teams to apply financial modeling techniques to healthcare investment strategies
  • Communicate findings through visualizations, reports, and presentations to senior executives and external stakeholders
  • Stay abreast of emerging technologies in AI and data analytics to drive innovation in healthcare affordability and access
  • Support the evaluation of healthcare startups and partnerships by providing data-driven insights on market potential and risk
  • Ensure data integrity, compliance with privacy regulations, and ethical use of AI in healthcare research
  • Mentor junior data scientists and contribute to the development of best practices for data governance within Morgan Health

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field; Master's or PhD preferred
  • 3+ years of professional experience in data science, analytics, or research roles within the healthcare or financial services industry
  • Proficiency in programming languages such as Python, R, or SQL for data manipulation, analysis, and modeling
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and statistical analysis tools
  • Strong understanding of healthcare data sources, including electronic health records (EHR), claims data, and clinical datasets
  • Demonstrated ability to work with large-scale datasets and perform advanced statistical analyses
  • Excellent communication skills to translate complex data insights into actionable recommendations for business stakeholders

Preferred Qualifications

  • Advanced degree in a quantitative field with a focus on health economics or bioinformatics
  • Experience in financial services, particularly in health insurance, value-based care models, or healthcare financing
  • Familiarity with regulatory frameworks such as HIPAA, FDA guidelines, or CMS policies
  • Prior work in innovation-driven environments, such as startups or R&D teams in healthcare tech
  • Publication record in peer-reviewed journals on data science applications in healthcare

Required Skills

  • Python and R programming for data analysis
  • SQL for database querying and management
  • Machine learning and AI model development
  • Statistical modeling and hypothesis testing
  • Data visualization tools like Tableau or Power BI
  • Healthcare data analytics and EHR systems
  • Financial modeling and risk assessment
  • Big data technologies (e.g., Hadoop, Spark)
  • Problem-solving and critical thinking
  • Cross-functional collaboration and teamwork
  • Strong written and verbal communication
  • Project management and agile methodologies
  • Regulatory compliance in data privacy (HIPAA)
  • Innovation mindset for research and development
  • Attention to detail in data quality assurance

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance plans
  • 401(k) retirement savings plan with generous company matching
  • Paid time off, including vacation, sick days, and parental leave
  • Professional development opportunities, including tuition reimbursement and access to internal training programs
  • Wellness programs with gym memberships, mental health support, and health savings accounts
  • Employee stock purchase plan and financial planning services
  • Flexible work arrangements, including hybrid options in Washington, DC

JP Morgan Chase is an equal opportunity employer.

Locations

  • Washington, US

Salary

Estimated Salary Rangehigh confidence

140,000 - 220,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Python and R programming for data analysisintermediate
  • SQL for database querying and managementintermediate
  • Machine learning and AI model developmentintermediate
  • Statistical modeling and hypothesis testingintermediate
  • Data visualization tools like Tableau or Power BIintermediate
  • Healthcare data analytics and EHR systemsintermediate
  • Financial modeling and risk assessmentintermediate
  • Big data technologies (e.g., Hadoop, Spark)intermediate
  • Problem-solving and critical thinkingintermediate
  • Cross-functional collaboration and teamworkintermediate
  • Strong written and verbal communicationintermediate
  • Project management and agile methodologiesintermediate
  • Regulatory compliance in data privacy (HIPAA)intermediate
  • Innovation mindset for research and developmentintermediate
  • Attention to detail in data quality assuranceintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field; Master's or PhD preferred (experience)
  • 3+ years of professional experience in data science, analytics, or research roles within the healthcare or financial services industry (experience)
  • Proficiency in programming languages such as Python, R, or SQL for data manipulation, analysis, and modeling (experience)
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and statistical analysis tools (experience)
  • Strong understanding of healthcare data sources, including electronic health records (EHR), claims data, and clinical datasets (experience)
  • Demonstrated ability to work with large-scale datasets and perform advanced statistical analyses (experience)
  • Excellent communication skills to translate complex data insights into actionable recommendations for business stakeholders (experience)

Preferred Qualifications

  • Advanced degree in a quantitative field with a focus on health economics or bioinformatics (experience)
  • Experience in financial services, particularly in health insurance, value-based care models, or healthcare financing (experience)
  • Familiarity with regulatory frameworks such as HIPAA, FDA guidelines, or CMS policies (experience)
  • Prior work in innovation-driven environments, such as startups or R&D teams in healthcare tech (experience)
  • Publication record in peer-reviewed journals on data science applications in healthcare (experience)

Responsibilities

  • Develop and implement data science models to analyze healthcare innovation trends, focusing on cost reduction and quality improvement in patient care
  • Collaborate with cross-functional teams at Morgan Health to design research studies that integrate financial services with healthcare delivery
  • Leverage large datasets from healthcare providers and payers to identify opportunities for innovative financing solutions in value-based care
  • Conduct advanced statistical analyses and machine learning to predict healthcare outcomes and optimize resource allocation
  • Partner with JP Morgan Chase's broader analytics teams to apply financial modeling techniques to healthcare investment strategies
  • Communicate findings through visualizations, reports, and presentations to senior executives and external stakeholders
  • Stay abreast of emerging technologies in AI and data analytics to drive innovation in healthcare affordability and access
  • Support the evaluation of healthcare startups and partnerships by providing data-driven insights on market potential and risk
  • Ensure data integrity, compliance with privacy regulations, and ethical use of AI in healthcare research
  • Mentor junior data scientists and contribute to the development of best practices for data governance within Morgan Health

Benefits

  • general: Competitive base salary and performance-based annual bonuses
  • general: Comprehensive health, dental, and vision insurance plans
  • general: 401(k) retirement savings plan with generous company matching
  • general: Paid time off, including vacation, sick days, and parental leave
  • general: Professional development opportunities, including tuition reimbursement and access to internal training programs
  • general: Wellness programs with gym memberships, mental health support, and health savings accounts
  • general: Employee stock purchase plan and financial planning services
  • general: Flexible work arrangements, including hybrid options in Washington, DC

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JP Morgan Chase logo

Morgan Health - Health Care Innovation - Senior Associate of Data Science & Research

JP Morgan Chase

Software and Technology Jobs

Morgan Health - Health Care Innovation - Senior Associate of Data Science & Research

full-timePosted: Nov 25, 2025

Job Description

Morgan Health - Health Care Innovation - Senior Associate of Data Science & Research

Location: Washington, DC, United States

Job Family: Analytics Solutions & Delivery

About the Role

Morgan Health, a division of JP Morgan Chase, is at the forefront of transforming healthcare through innovative financial solutions that enhance affordability, access, and quality of care. We are seeking a Senior Associate of Data Science & Research to join our Health Care Innovation team in Washington, DC. In this role, you will play a pivotal part in leveraging data analytics to drive groundbreaking research and partnerships in the healthcare sector. As a key contributor, you will apply advanced data science techniques to analyze complex healthcare datasets, informing strategies that integrate financial services with innovative care delivery models. This position offers the opportunity to work on high-impact projects that bridge the gap between finance and healthcare, ultimately improving outcomes for patients and providers alike. Your primary focus will be on developing sophisticated models to evaluate healthcare innovations, such as value-based payment systems and digital health technologies. You will collaborate closely with JP Morgan Chase's analytics experts, healthcare executives, and external partners to extract actionable insights from diverse data sources, including clinical records, claims data, and economic indicators. By combining financial acumen with data-driven research, you will help identify scalable solutions to pressing challenges like rising healthcare costs and disparities in care access. This role requires a blend of technical expertise and strategic thinking to support Morgan Health's mission of fostering a more equitable healthcare ecosystem. At JP Morgan Chase, we value innovation, integrity, and inclusion, providing a dynamic environment where your contributions can shape the future of healthcare finance. As a Senior Associate, you will have access to cutting-edge tools, mentorship from industry leaders, and opportunities to influence policy and investment decisions. If you are passionate about using data science to create meaningful change at the intersection of finance and health, join us in reimagining healthcare for a healthier world.

Key Responsibilities

  • Develop and implement data science models to analyze healthcare innovation trends, focusing on cost reduction and quality improvement in patient care
  • Collaborate with cross-functional teams at Morgan Health to design research studies that integrate financial services with healthcare delivery
  • Leverage large datasets from healthcare providers and payers to identify opportunities for innovative financing solutions in value-based care
  • Conduct advanced statistical analyses and machine learning to predict healthcare outcomes and optimize resource allocation
  • Partner with JP Morgan Chase's broader analytics teams to apply financial modeling techniques to healthcare investment strategies
  • Communicate findings through visualizations, reports, and presentations to senior executives and external stakeholders
  • Stay abreast of emerging technologies in AI and data analytics to drive innovation in healthcare affordability and access
  • Support the evaluation of healthcare startups and partnerships by providing data-driven insights on market potential and risk
  • Ensure data integrity, compliance with privacy regulations, and ethical use of AI in healthcare research
  • Mentor junior data scientists and contribute to the development of best practices for data governance within Morgan Health

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field; Master's or PhD preferred
  • 3+ years of professional experience in data science, analytics, or research roles within the healthcare or financial services industry
  • Proficiency in programming languages such as Python, R, or SQL for data manipulation, analysis, and modeling
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and statistical analysis tools
  • Strong understanding of healthcare data sources, including electronic health records (EHR), claims data, and clinical datasets
  • Demonstrated ability to work with large-scale datasets and perform advanced statistical analyses
  • Excellent communication skills to translate complex data insights into actionable recommendations for business stakeholders

Preferred Qualifications

  • Advanced degree in a quantitative field with a focus on health economics or bioinformatics
  • Experience in financial services, particularly in health insurance, value-based care models, or healthcare financing
  • Familiarity with regulatory frameworks such as HIPAA, FDA guidelines, or CMS policies
  • Prior work in innovation-driven environments, such as startups or R&D teams in healthcare tech
  • Publication record in peer-reviewed journals on data science applications in healthcare

Required Skills

  • Python and R programming for data analysis
  • SQL for database querying and management
  • Machine learning and AI model development
  • Statistical modeling and hypothesis testing
  • Data visualization tools like Tableau or Power BI
  • Healthcare data analytics and EHR systems
  • Financial modeling and risk assessment
  • Big data technologies (e.g., Hadoop, Spark)
  • Problem-solving and critical thinking
  • Cross-functional collaboration and teamwork
  • Strong written and verbal communication
  • Project management and agile methodologies
  • Regulatory compliance in data privacy (HIPAA)
  • Innovation mindset for research and development
  • Attention to detail in data quality assurance

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance plans
  • 401(k) retirement savings plan with generous company matching
  • Paid time off, including vacation, sick days, and parental leave
  • Professional development opportunities, including tuition reimbursement and access to internal training programs
  • Wellness programs with gym memberships, mental health support, and health savings accounts
  • Employee stock purchase plan and financial planning services
  • Flexible work arrangements, including hybrid options in Washington, DC

JP Morgan Chase is an equal opportunity employer.

Locations

  • Washington, US

Salary

Estimated Salary Rangehigh confidence

140,000 - 220,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Python and R programming for data analysisintermediate
  • SQL for database querying and managementintermediate
  • Machine learning and AI model developmentintermediate
  • Statistical modeling and hypothesis testingintermediate
  • Data visualization tools like Tableau or Power BIintermediate
  • Healthcare data analytics and EHR systemsintermediate
  • Financial modeling and risk assessmentintermediate
  • Big data technologies (e.g., Hadoop, Spark)intermediate
  • Problem-solving and critical thinkingintermediate
  • Cross-functional collaboration and teamworkintermediate
  • Strong written and verbal communicationintermediate
  • Project management and agile methodologiesintermediate
  • Regulatory compliance in data privacy (HIPAA)intermediate
  • Innovation mindset for research and developmentintermediate
  • Attention to detail in data quality assuranceintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field; Master's or PhD preferred (experience)
  • 3+ years of professional experience in data science, analytics, or research roles within the healthcare or financial services industry (experience)
  • Proficiency in programming languages such as Python, R, or SQL for data manipulation, analysis, and modeling (experience)
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and statistical analysis tools (experience)
  • Strong understanding of healthcare data sources, including electronic health records (EHR), claims data, and clinical datasets (experience)
  • Demonstrated ability to work with large-scale datasets and perform advanced statistical analyses (experience)
  • Excellent communication skills to translate complex data insights into actionable recommendations for business stakeholders (experience)

Preferred Qualifications

  • Advanced degree in a quantitative field with a focus on health economics or bioinformatics (experience)
  • Experience in financial services, particularly in health insurance, value-based care models, or healthcare financing (experience)
  • Familiarity with regulatory frameworks such as HIPAA, FDA guidelines, or CMS policies (experience)
  • Prior work in innovation-driven environments, such as startups or R&D teams in healthcare tech (experience)
  • Publication record in peer-reviewed journals on data science applications in healthcare (experience)

Responsibilities

  • Develop and implement data science models to analyze healthcare innovation trends, focusing on cost reduction and quality improvement in patient care
  • Collaborate with cross-functional teams at Morgan Health to design research studies that integrate financial services with healthcare delivery
  • Leverage large datasets from healthcare providers and payers to identify opportunities for innovative financing solutions in value-based care
  • Conduct advanced statistical analyses and machine learning to predict healthcare outcomes and optimize resource allocation
  • Partner with JP Morgan Chase's broader analytics teams to apply financial modeling techniques to healthcare investment strategies
  • Communicate findings through visualizations, reports, and presentations to senior executives and external stakeholders
  • Stay abreast of emerging technologies in AI and data analytics to drive innovation in healthcare affordability and access
  • Support the evaluation of healthcare startups and partnerships by providing data-driven insights on market potential and risk
  • Ensure data integrity, compliance with privacy regulations, and ethical use of AI in healthcare research
  • Mentor junior data scientists and contribute to the development of best practices for data governance within Morgan Health

Benefits

  • general: Competitive base salary and performance-based annual bonuses
  • general: Comprehensive health, dental, and vision insurance plans
  • general: 401(k) retirement savings plan with generous company matching
  • general: Paid time off, including vacation, sick days, and parental leave
  • general: Professional development opportunities, including tuition reimbursement and access to internal training programs
  • general: Wellness programs with gym memberships, mental health support, and health savings accounts
  • general: Employee stock purchase plan and financial planning services
  • general: Flexible work arrangements, including hybrid options in Washington, DC

Target Your Resume for "Morgan Health - Health Care Innovation - Senior Associate of Data Science & Research" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Morgan Health - Health Care Innovation - Senior Associate of Data Science & Research. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Morgan Health - Health Care Innovation - Senior Associate of Data Science & Research" , JP Morgan Chase

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Analytics Solutions & DeliveryFinancial ServicesBankingJP MorganAnalytics Solutions & Delivery

Answer 10 quick questions to check your fit for Morgan Health - Health Care Innovation - Senior Associate of Data Science & Research @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.