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Overnight Healthcare Data Science Jobs (NOW HIRING)

Healthcare Data Architect

Dallas, TX

$63 - $81/hr

Ability to design data models and curated datasets that support self-service analytics and data science teams * Knowledge of healthcare analytics, including population health and value-based care ...

Working experience with healthcare data standards and exchange formats - FHIR, HL7v2, and C-CDA. * Education: Master's degree in Data Science, Biostatistics, Health Informatics, Computer Science, or ...

Data Science Analyst - Remote

Brentwood, TN · On-site +1

$75K - $87K/yr

Come join us and see for yourself why amazing health starts with amazing healthcare. For more ... The Data Scientist leverages machine learning, statistical modeling, and modern AI techniques to ...

Healthcare Data Analyst

Orange, CA · On-site

$85K - $115K/yr

Bachelor's degree in Data Analytics, Health Informatics, Statistics, Computer Science, or related field. * 2-5+ years of healthcare data analytics experience. * Knowledge of Medicare Advantage ...

5+ SAS & SQL programming, 3+ years data science in healthcare SAS EG, SAS Studio, SQL Developer, Office 365 Microsoft Visio, Tableau, Power BI, JIRA, Epic Systems including Clarity database, Healt ...

Senior Healthcare Data Analyst

Palo Alto, CA

$101K - $127K/yr

Latica was founded by repeat entrepreneurs and recognized leaders in healthcare, data science, AI, and cybersecurity.We look for people who are smart, open, and fun to hang out with. We invest in our ...

Sr. Healthcare Data Analyst - Epic

Dallas, TX · On-site +1

$85K - $107K/yr

Bachelor's degree, preferably in healthcare analytics, computer science, data science, information technology, computer engineering, or other computational quantitative field required. * Master ...

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:

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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:
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.
Manager, Healthcare Data

Manager, Healthcare Data

CAN Community Health Inc

Saint Petersburg, FL • On-site

$92K - $125K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


CAN Community Health rating

7.3

Company rating: 7.3 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

Job Type
Full-time
Description
CAN Community Health is now hiring a Manager, Healthcare Data
Schedule: Full-Time Day Shift Monday-Thursday 8:00 am - 5:00 pm Friday 8:00 am - 12:00 pm
Salary: $92,000-$125,000 annually based on experience
Are you passionate about patient care and ready to make a difference every day? We are looking for someone who is passionate about serving the needs of individuals impacted by HIV, Hepatitis C, STI's, and other infectious diseases. You will become part of our professional team that drives home our Company's Mission and Values.
We have received recognition for more than six (6) years NPT's Best Non-Profit to Work for Award.
Why You'll Love It Here
  • Competitive pay
  • Generous paid PTO and Sick time
  • 11 Paid Company Holidays
  • Paid training and certification support
  • Health, dental, vision, with generous company contribution, paid life and disability plans & retirement plan with generous match of up to 8% of your contribution additional match of 1%.
  • Tuition Reimbursement Plan
  • Other voluntary plans are available to support you and your family
  • Career growth opportunities in a supportive environment

What You'll Do
The Manager, Healthcare Data, is a mid-level leadership position responsible for overseeing the day-to-day operations of the Healthcare Data Analyst team. This role serves as the primary point of contact for analytics project coordination, quality assurance, and team development. The Healthcare Data Manager works closely with the Director of Data Analytics to translate strategic data initiatives into actionable team deliverables while ensuring data integrity, regulatory compliance, and operational efficiency. This position requires strong technical proficiency in healthcare analytics, demonstrated leadership capabilities, and the ability to mentor and develop team members.
  • Supervise, mentor, and provide daily direction to Healthcare Data Analysts, ensuring quality deliverables and professional development
  • Coordinate analytics project assignments, timelines, and resource allocation in alignment with departmental priorities
  • Provide operational oversight of database administration activities, including review of database design and architecture, coordination of backup and recovery strategies with IT Infrastructure, monitoring of database performance optimization, and management of user access permissions in compliance with HIPAA and PHI security requirements
  • Serve as the primary quality assurance checkpoint for team deliverables, reviewing reports, dashboards, and data analyses for accuracy and completeness
  • Develop and maintain standardized processes, templates, and documentation for recurring analytics workflows
  • Collaborate with the Director of Data Analytics to identify team training needs and coordinate professional development opportunities
  • Design, develop, and maintain data visualizations, dashboards, and reports using Power BI Desktop and Power BI Report Server
  • Write and optimize SQL queries for data extraction, transformation, and analysis from multiple healthcare data sources
  • Support 340B program analytics, compliance reporting, and quality assurance initiatives
  • Assist with Ryan White, HRSA, and other grant reporting requirements by ensuring timely and accurate data deliverables

Supervisory Responsibilities
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of an employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
Requirements
Education/Professional:
  1. Bachelor's degree in data science, Statistics, Public Health, Health Informatics, Computer Science, Business Administration (healthcare) or related field required.
  2. 4+ years of progressive experience in data analytics, with at least 1 year in a supervisory or lead role, preferably within healthcare, public health, or nonprofit sectors.
  3. Proven experience with healthcare data (claims, EMR/EHR, pharmacy, clinical quality measures, 340B, Ryan White)
  4. Microsoft certification preferred.
  5. Experience with Salesforce platforms including Health Cloud and MuleSoft integration (preferred)
  6. Experience with Power BI Report Server for enterprise reporting (required)
  7. Proficiency with MS365 Power Platform (Power BI Desktop, Power Apps, Power Automate) (required)
  8. Strong SQL programming skills for data extraction, transformation, and analysis (required)
  9. Must be able to operate a motor vehicle and have valid insurance and driver's license.

Must be able to pass a Level I and Level II Background check as required (https://info.flclearinghouse.com)
CAN Community Health, Inc. is an equal opportunity employer that is committed to diversity and values the ways in which we are different. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law.