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Overnight Healthcare Data Science Jobs (NOW HIRING)

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.

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 ...

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 ...

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 ...

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 ...

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 Architect

Byteware Inc.

Manhattan, NY โ€ข On-site

$70.25 - $90.50/hr

Other

Posted 19 days ago


Job description

Job Title: Data Architect - Healthcare Experience
Location: New York, NY (2โ€“3 Days Onsite)
Contract
Experience: 14+ Years

Job Summary

Position Overview

 We are seeking a highly experienced Data Architect to lead the strategy, design, modernization, governance, and optimization of enterprise data platforms within a healthcare payer and provider environment.

This role will focus heavily on Data Architecture, cloud data platform modernization, healthcare data interoperability, analytics enablement, AI-ready data foundations, and vendor data integration. The Data Architect will partner closely with business leaders, enterprise architecture, application teams, analytics teams, data engineering, vendors, security, compliance, and operational stakeholders to ensure scalable, secure, compliant, and future-ready data solutions aligned with organizational strategy.

The ideal candidate combines deep healthcare domain expertise with strong data architecture capabilities across AWS, Snowflake, Salesforce, healthcare interoperability standards, data governance, APIs, data integration, analytics platforms, and modern cloud-native data ecosystems.

Experience

ยท         8+ years of experience in data architecture, enterprise data platforms, data engineering, solution architecture, or technology leadership roles.

ยท         3+ years of experience in healthcare payer and/or provider environments.

ยท         Deep expertise with:

ยท         AWS cloud data services

o    Snowflake/ Databricks

o    Enterprise data integration

o    Data warehousing

o    Data lakes and lake house architectures

o    SaaS data architecture

ยท         Data modeling and enterprise data standards:

ยท         Data Vault Modelling Experience

ยท         Some understanding of healthcare business domains such as:

      • Claims
      • Care management
      • Clinical operations
      • Provider management
      • Member engagement
      • Population health
      • Quality measures
      • Utilization management
      • Value-based care

ยท         Strong knowledge of healthcare data interoperability standards including:

o    HL7

o    FHIR

o    X12/EDI

 

Preferred Qualifications

ยท         AWS Glue

ยท         Amazon Redshift

ยท         Amazon S3

ยท         AWS Lake Formation

ยท         Amazon Athena

ยท         Amazon EMR

ยท         AWS Lambda

ยท         AWS SageMaker

ยท         Amazon Bedrock

Experience with Snowflake capabilities such as:

  • Snowpipe
  • Streams and Tasks
  • Snowpark
  • Dynamic Tables
  • Data sharing
  • Snowflake Cortex AI

Licenses & Certifications

 Snowflake SnowPro Certification desirable. (Desirable)

ยท         AWS Certified Solutions Architect โ€“ Professional or AWS Certified Data Analytics / Data Engineer certification desirable.