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Overnight Healthcare Data Science Jobs (NOW HIRING)

RIT Solutions, Inc.

Healthcare Data Analytics

Healthcare Data Analytics (Data Science, Complex SQL SAS Fusion, Teradata) Minneapolis, MN - Remote What is the specific title of the position? o Sr Data Analyst Work hours (ex. 9am-5pm day/night ...

Elara Caring

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 ...

Elara Caring

Healthcare Data Architect

Dallas, TX · On-site

$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 ...

Waymark

OR

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 ...

Elara Caring

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 ...

Blue Ridge Care

Healthcare Data Analyst

Winchester, VA · On-site +1

Healthcare Data Analyst - Join the Blue Ridge Care Team! Blue Ridge Care works to optimize the quality of life and well-being for those members of our community affected by aging or dealing with ...

Blue Ridge Care

Healthcare Data Analyst

Winchester, VA · On-site +1

Healthcare Data Analyst - Join the Blue Ridge Care Team! Blue Ridge Care works to optimize the quality of life and well-being for those members of our community affected by aging or dealing with ...

Stanford Health Care

Data Scientist - AI/ML

Alto, TX · On-site

$79.21 - $104.97/hr

This group is designed to bring Artificial Intelligence (AI), and other emerging machine learning (ML) based innovations in data science into healthcare and will partner closely with individuals ...

Latica

Senior Healthcare Data Analyst

Palo Alto, CA · On-site

$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 ...

Dugong Global

Healthcare Data Analyst

New York, NY · On-site

... Data Analytics, Statistics, Computer Science, Public Health, Mathematics, or a related field ... Knowledge of healthcare data concepts, healthcare workflows, or Electronic Health Records (EHR ...

New

Latica

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 ...

Dugong Global

Healthcare Data Analyst

Manhattan, NY · On-site

... Data Analytics, Statistics, Computer Science, Public Health, Mathematics, or a related field ... Knowledge of healthcare data concepts, healthcare workflows, or Electronic Health Records (EHR ...

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All JobsOvernight Healthcare Data Science Jobs

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 1% As Needed, 70% Full Time, 9% Part Time, and 20% Contract. Highlights an 90% Physical, and 10% Remote job distribution.
Healthcare Data Analytics

Healthcare Data Analytics

RIT Solutions, Inc.

Remote

Other

Posted 4 days ago

Job description

Healthcare Data Analytics (Data Science, Complex SQL SAS Fusion, Teradata)
Minneapolis, MN - Remote
Job Description
What is the specific title of the position?
o Sr Data Analyst
Work hours (ex. 9am-5pm day/night shifts rotating shifts etc)?
o 8am-4pm, can be flexible.
Position background:
o This position will be part of our Data Science Solutions and Strategy (DS3) Team within the United Healthcare Controllership. The role will be involved multiple technology projects throughout the year
to help our organization ensure data quality while assisting with analysis, metric, and report creations. They will have the ability to research and apply various data mining and data science methods in these
processes and will be a key resource for major project deliverables.
What does this position accomplish for the business?
o This position will support various Financial Data Management teams with data testing and data quality assessment.
Please describe the team the candidate will be working with (number of team members break-
down of the teams skill sets team culture etc.).
o The DS3 team is approximately 35 members with the direct team being 5-7 individuals. The team is extremely skilled in various big data technologies (Hive, Hadoop, Teradata) and has a variety of
programming skills (SAS, SQL, Python, R) etc.
What are the top 5-10 responsibilities for this position (please be detailed as to what the candidate is expected to do or complete on a daily basis)?
o Assist various groups in the transition of Financial Systems data flows to various ETL or data warehouse platforms.
o Create programs and automated processes for reporting and dashboarding on various data quality measures.
o Research and development on various metrics and analytical methods to help with data quality, automated testing, and validation processes.
o Develop sophisticated methods for anomaly detection, pattern analysis, change point detection, threshold measuring and other approaches for measure data changes.
o Exploratory data analysis and research to determine data baselines and thresholds for summary analysis.
What does the ideal candidate background look like?
o Healthcare data experience not required but helpful.
o 4-year degree in Data Science, Analytics, Mathematics, Statistics, or Computer Science.
o 4+ years of experience as a data analyst, data scientist or data engineer.
What skills/attributes are required (please be detailed as to number of years of experience for each skill)?
o Ability to build complex SQL queries
o Ability to confidently communicate findings and help implement change
o Professional experience with various data platforms like Microsoft SQL Server, SAS Fusion Hadoop, Teradata, Hive, AWS, Azure, etc.)
o Professional experience with various data business intelligence software tools like Power BI, Tableau, iDashboards etc.
What skills/attributes are preferred (what will set a candidate apart)?
o Aptitude for telling stories with data.
o Experience with presenting to Senior Management or Executive Leadership.
o SAS Certification, Teradata Vantage Certification, Microsoft Certified Professional
o Advanced degree in Data Science or Analytics.
o Experience with Github, Agile Methodology.

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