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Overnight Healthcare Data Science Jobs (NOW HIRING)

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 ...

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 ...

We invite you to apply today and join us in shaping the future of healthcare! Key Responsibilities: * Develop and maintain metrics, dashboards, and reports that impact data driven decisions.

Healthcare Data Architect

Manhattan, NY ยท On-site

$70.25 - $90.50/hr

Job Title: Data Architect - Healthcare Experience Location: New York, NY (2-3 Days Onsite) Contract Experience: 14+ Years Job Summary Position Overview We are seeking a highly experienced Data ...

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and ... care and improve population health outcomes for our payer clients. As a Manager, you will lead ...

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and ... care and improve population health outcomes for our payer clients. As a Manager, you will lead ...

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and ... care and improve population health outcomes for our payer clients. As a Manager, you will lead ...

Healthcare Data Engineer

New York, NY ยท Remote

$117K - $140K/yr

Master's or Bachelor's degree in Engineering (IT, Electronics, Communication, Computer Science, or ... Experience with healthcare data and health forms. Analytics: Experience in advanced analytics.

Familiarity with healthcare industry code sets (RXNORM, LOINC, SNOMED, CPT, ICD-9, ICD-10) Experience working with healthcare data from one or more of major healthcare IT systems including but not ...

Data Scientist IV

Gainesville, FL ยท On-site

$98K - $110K/yr

Strong communication skills and a proven track record in data science are essential. Research Development: Leverage expertise in healthcare administrative and clinical data to support the design and ...

Data Scientist

Manhattan, NY ยท On-site

$190 - $220/hr

In this role, you will be responsible for advancing our applied ML and data science capabilities for healthcare. Responsibilities * Develop, validate, and measure the impact of large language model ...

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 ...

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and ... care and improve population health outcomes for our payer clients. As a Manager, you will lead ...

Principal Data Scientist

Shelbyville, TN ยท On-site

$140 - $180/hr

Experience: 10+ years of experience in data science, machine learning, healthcare analytics, clinical AI, or applied AI solution delivery, ideally within consulting or enterprise client environments ...

Health Data Science/AI Associate

Indianapolis, IN ยท On-site

$56K - $56K/yr

ESSENTIAL DUTIES AND RESPONSIBILITIES Under the guidance of supervisors and scientific mentors, the ... Clinical or healthcare data * Data visualization tools * Git or source code management * Health ...

Data Science Analyst - Remote

Brentwood, TN ยท On-site +1

$75K - $87K/yr

Come join us and see for yourself why amazing health starts with amazing healthcare. For more ... As an Analyst on our Data Science team, you'll be an integral part of an innovative group building ...

Showing results 41-60

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?

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:

Infographic showing various Overnight Healthcare Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Healthcare Data Analyst

Scalepex

Dallas, TX โ€ข Remote

Full-time

Re-posted 16 days ago


Job description

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 team responsible for ensuring data pipelines are accurate, reliable, and delivered on time.

You’ll work closely with teammates, engineering partners, and operational stakeholders to troubleshoot issues, support EDI workflows, and continuously improve data processes. The ideal candidate combines strong technical attention to detail with an understanding of how data operations support client satisfaction and broader business outcomes.

What You’ll Do
  • Maintain a strong understanding of data and task workflows across operational departments.
  • Communicate the status of ongoing tasks and issues to end users, team leads, and DataOps leadership.
  • Analyze and troubleshoot insurance claims, eligibility, and import/export file mappings.
  • Identify and resolve issues related to enrollment and enrollment changes within EDI files, partnering with engineering teams as needed.
  • Coordinate ongoing EDI testing, implementations, and upgrades.
  • Troubleshoot and report operational errors, including file movement and SFTP connection issues.
  • Compare data files and reports against documented business requirements to ensure data quality and identify gaps.
  • Support continuous improvement of data workflows, documentation, and operational processes.
  • Perform additional duties as assigned by the Team Lead or DataOps Manager.

Requirements

What You Bring
  • 4+ years of experience in system analysis, data analysis, and/or process improvement.
  • 2+ years of experience in the healthcare industry; TPA experience preferred.
  • Associate or Bachelor’s degree preferred, but not required.
  • Strong analytical, critical thinking, and problem-solving skills.
  • Intermediate to advanced proficiency in Microsoft Office (Excel, Outlook, Word).
  • Familiarity with flat file data structures such as CSV or pipe-delimited files.
  • Experience using data analysis tools such as Excel, SQL, Tableau, Power BI, or similar tools.
  • Proven ability to analyze data, review requirements, and deliver insights that support business decisions.
  • Strong collaboration and communication skills across technical and non-technical teams.
  • Knowledge or experience with ANSI 5010 transactions (837, 835, 834, 270/271) preferred.