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Overnight Healthcare Data Science Jobs (NOW HIRING)

Alignment Healthcare

Sr. AI & Data Scientist

Alignment Health is breaking the mold in conventional health care, committed to serving seniors and ... PhD in Computer Science, Machine Learning, Statistics, or related field Training Required:

Confluence Health

Healthcare Data Analyst

Wenatchee, WA · On-site

$48.21/hr

The Healthcare Data Analyst I designs and executes the analytics for a variety of project types. Coordinating with internal and external stakeholders, the Healthcare Data Analyst promotes using data ...

Confluence Health

Healthcare Data Analyst

Wenatchee, WA

$30.21 - $48.21/hr

The Healthcare Data Analyst I designs and executes the analytics for a variety of project types. Coordinating with internal and external stakeholders, the Healthcare Data Analyst promotes using data ...

Vitality Senior Living

Data Scientist

Brentwood, TN · On-site

We are seeking a hands-on Data Scientist to build and deploy data-driven solutions across healthcare and senior housing operations. This role is responsible for developing, implementing, and ...

KORE1 Technologies

Principal Data Scientist

Duarte, CA · Remote

$48 - $62/hr

You'll work hands-on with structured and unstructured healthcare data, design and implement ... Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. * 4 years of ...

Scalepex

Healthcare Data Analyst

Dallas, TX · On-site +1

About the Role The Data Analyst plays a key role in monitoring, managing, and improving healthcare data file exchanges across clients, vendors, and internal systems. This role sits within a DataOps ...

Scalepex

Healthcare Data Analyst

Dallas, TX · Remote

About the Role The Data Analyst plays a key role in monitoring, managing, and improving healthcare data file exchanges across clients, vendors, and internal systems. This role sits within a DataOps ...

Scalepex

Healthcare Data Analyst

Dallas, TX

About the Role The Data Analyst plays a key role in monitoring, managing, and improving healthcare data file exchanges across clients, vendors, and internal systems. This role sits within a DataOps ...

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Overnight Healthcare Data Science information

What are some unique challenges faced by data scientists working overnight shifts in healthcare settings?

Data scientists working overnight in healthcare often encounter challenges such as limited access to real-time stakeholders, immediate technical support, and certain data sources that may only be updated during daytime hours. Additionally, they must be self-motivated and comfortable making independent decisions when team members are unavailable. However, the overnight shift can also allow for more focused, uninterrupted work time, which is beneficial for complex data analysis and model development.

What is an Overnight Healthcare Data Scientist?

An Overnight Healthcare Data Scientist is a professional who analyzes and interprets healthcare data during overnight shifts. These specialists use statistical methods, machine learning, and data analysis tools to extract insights from medical records, patient data, and operational metrics in real-time or near real-time. Their work may involve monitoring ongoing health events, supporting clinical decision-making, and ensuring data accuracy during nighttime hours. This role is critical in environments where healthcare operations run 24/7, such as hospitals or telehealth services, to help improve patient outcomes and operational efficiency.

What are the key skills and qualifications needed to thrive as an Overnight Healthcare Data Scientist, and why are they important?

To thrive as an Overnight Healthcare Data Scientist, you need strong analytical skills, proficiency in statistics, and experience with healthcare datasets, usually supported by a degree in data science or a related field. Familiarity with programming languages like Python or R, data visualization tools, and healthcare-specific systems such as EHR databases and HIPAA compliance protocols is essential. Excellent problem-solving ability, attention to detail, and the capacity to work independently during overnight hours are important soft skills. These skills ensure accurate, compliant data analysis and enable timely insights that support critical healthcare operations around the clock.

What is the difference between Overnight Healthcare Data Science vs Healthcare Data Analyst?

AspectOvernight Healthcare Data ScienceHealthcare Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; knowledge of programming languages like Python or RBachelor's in Health Informatics, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentNight shifts in healthcare facilities or remote settings, focusing on data modeling and predictive analyticsDay shifts in hospitals or clinics, focusing on data reporting and interpretation
Employer & Industry UsageHospitals, healthcare tech companies, research institutionsHospitals, clinics, insurance companies, healthcare consulting firms

Overnight Healthcare Data Science involves working during night shifts to develop predictive models and analyze healthcare data, often requiring advanced technical skills. Healthcare Data Analysts typically work during daytime hours, focusing on interpreting data and generating reports. Both roles are vital in healthcare but differ mainly in work hours, technical complexity, and focus areas.

What cities are hiring for Overnight Healthcare Data Science jobs? Cities with the most Overnight Healthcare Data Science job openings:
What are the most commonly searched types of Healthcare Data Science jobs? The most popular types of Healthcare Data Science jobs are:
What states have the most Overnight Healthcare Data Science jobs? States with the most job openings for Overnight Healthcare Data Science jobs include:
What job categories do people searching Overnight Healthcare Data Science jobs look for? The top searched job categories for Overnight Healthcare Data Science jobs are:
Overnight Healthcare Data Science jobs near you
Infographic showing various Overnight Healthcare Data Science job openings in the United States as of June 2026, with employment types broken down into 84% Full Time, and 16% Part Time. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.
Sr. Healthcare Data Analyst - Epic

Sr. Healthcare Data Analyst - Epic

Scottish Rite for Children

Dallas, TX • On-site

$85K - $107K/yr

Full-time

Posted 13 days ago

Scottish Rite For Children rating

7.5

Company rating: 7.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

284th of 998 rated hospitals

Job description

Our patients are our number one priority! We're committed to giving children back their childhood!
Job Posting Title:
Sr. Healthcare Data Analyst - Epic
Location:
Dallas - Hospital
Additional Posting Details:
  • Mon - Fri, 8am - 5pm.
  • Hybrid, mostly remote

Job Description:
The Healthcare Data Analyst will be a key member of the Analytics Center of Excellence working closely with organizational stakeholders to define, develop, and deliver effective business intelligence and analytics solutions. The Analytics team is essential to transforming how organizational data assets are leveraged to deliver meaningful analytics insights and to enable data-driven decision making in support of the organization's clinical, operational, and financial strategy.
Duties/Responsibilities
  • Query healthcare data from multiple sources including electronic medical records, patient experience surveys, claims, and administrative systems to discover meaningful analytical insights for clinical, business, and strategic initiatives.
  • Analyze business requirements and source systems to translate these inputs into technical data specifications and workflows for the design and development of analytical solutions.
  • Design, develop, validate, and monitor reports and dashboards to track key healthcare clinical quality, operational, and financial data.
  • Design, develop, and automate clinical quality and operational performance metrics. Maintain knowledge base of data requirements and measure definitions.
  • Conduct analysis, including benchmarking and performance forecasts, to enable data informed decision making.
  • Perform advanced analytics such as statistical analysis and predictive model development to support clinical and business strategy.
  • Adhere to data management and analytics best practices to ensure timely and accurate delivery of high-quality analytics products.
  • Establish and maintain data dictionaries, metadata, data definitions, release notes, and other documentation that supports organizational data governance and change management.
  • Work closely and collaboratively with multidisciplinary project teams to provide comprehensive analytical support on organizational initiatives. Interpret, explain, and discuss data analysis results with project team. Make data informed recommendations and support strategies for improving healthcare delivery and outcomes.
  • Apply a thorough and methodical approach to analysis and presentation of data results including use of data visualizations. Structure analytical results in an organized, visual manner to tell a meaningful and actionable story. Use effective written and verbal communication skills to present analysis and results to diverse stakeholders.
  • Assess analytics project requirements by performing workflow assessments, capturing business needs, and documenting assumptions, risk, issues, definitions to develop a thorough project plan with realistic goals and timelines.
  • Evaluate data needs of assigned projects, assure data integrity and suitability, and determine data collection methods, metrics definitions and evaluation methods.
  • Prepares and deliver business communications, including meeting agendas, presentations, business reports and project communications plans to effectively meet stakeholder needs and expectations.
  • Coaches and develops other team members, acting as a resource of knowledge and guidance. May supervise and ensure the quality of work performed by others.

Required Skills/Abilities
  • Bachelor's degree, preferably in healthcare analytics, computer science, data science, information technology, computer engineering, or other computational quantitative field required.
  • Master's Degree or higher in a healthcare analytics, computer science, data science, or quantitative based discipline such as economics, epidemiology, statistics, public health, or health services research preferred.
  • 5+ years of relevant healthcare industry experience working in analytics, reporting, business intelligence, or data management role required.
  • 5+ years of experience in data management, data visualization, and analytics using tools such as MS SQL, SSRS, Power BI, Tableau, SAS, or R required.
  • Working knowledge of relational database and data warehouse concepts required.
  • Epic or Workday knowledge required.
  • Working knowledge of MS Office Applications required.
  • Technical project management experience preferred.

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