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Overnight Healthcare Data Science Jobs (NOW HIRING)

Pwc

Payer Healthcare Data Scientist, Manager

Chicago, IL · On-site

$99K - $232K/yr

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 ...

Pwc

Payer Healthcare Data Scientist, Manager

Boston, MA · On-site

$99K - $232K/yr

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 ...

Pwc

Payer Healthcare Data Scientist, Manager

Birmingham, AL · On-site

$99K - $232K/yr

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 ...

Pwc

Payer Healthcare Data Scientist, Manager

New York, NY · On-site

$99K - $232K/yr

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 ...

University of Florida

Data Scientist IV

Gainesville, FL · 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 ...

Verana Health

Data Scientist

Manhattan, NY · 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 ...

Cyod

Principal Data Scientist

Shelbyville, TN · 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 ...

Lifekind Health

Data Scientist

Scottsdale, AZ · On-site

$80K - $120K/yr

In this role, you will work with diverse and complex healthcare datasets--EHR, scheduling, billing ... Master's degree in Data Science, CS, Statistics, Biomedical Informatics, or related field preferred ...

Conch Technologies Inc

Data Scientist

Orlando, FL · On-site

Data Scientist Duration: 6 month contract to hire (no sponsorship available) Must have SQL, Snowflake, python, Healthcare experience Highly preferred is the python framework Streamlit Key ...

Saransh Inc

Health Care Data Engineer

New York, NY · On-site

$125K - $150K/yr

Experience with healthcare data and leading data teams * Agile development experience * Strong problem-solving and communication skills Responsibilities * Design and maintain scalable data pipelines ...

VeeRteq Solutions Inc.

Data Science/MLOps Engineer

Chicago, IL · On-site

$118K - $141K/yr

Role : Data Science/MLOps Engineer Experience: - Min 8+ Years Location: - Chicago, IL We are ... Familiarity with healthcare data standards, terminologies, or ontologies * Experience deploying ML ...

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Overnight Healthcare Data Science information

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 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 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:

Overnight Healthcare Data Science jobs near you
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.

Heersink School of Medicine-Instructor (Data Science)

The University of Alabama at Birmingham

Birmingham, AL

Full-time

Re-posted 29 days ago

University Of Alabama At Birmingham rating

7.7

Company rating: 7.7 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

262nd of 620 rated colleges and universities

Job description

Position Information
School/College School of Medicine Title Heersink School of Medicine-Instructor (Data Science) Assignment Category Full-Time Rank Instructor Tenure Status Non-Tenure Track Payroll Status Faculty 12 Job Description
We are seeking a highly motivated and skilled Instructor of Data Science to join the Department of Anesthesiology and Perioperative Medicine. The successful candidate will begin by providing insights and recommendations through advanced data analysis, contributing to various data science projects. Over time, the role will transition to leading a waveform lab, focusing on innovative research and development in healthcare data science. This transition will involve creating a team of PhD students, Post-Doctoral Fellows, and junior faculty.

Initial Responsibilities:
  1. Data Analysis and Hypothesis Testing: Utilize advanced mathematical, statistical, scientific, and computational techniques to develop, test, and validate hypotheses. Techniques may include probability models, artificial intelligence (AI), machine learning, data mining, pattern recognition, data visualization, predictive analytics, data warehousing, artificial intelligence, and other complex methods.
  2. Tool and Model Development: Develop new tools and models or integrate existing ones to analyze large and unstructured data sources, particularly with generative AI.
  3. Presentation of Findings: Prepare and present interpretations of data findings to internal and external clients.
  4. Mentorship: Mentor and train junior staff, faculty, and trainees, fostering a collaborative and educational environment.
  5. Collaboration: Work with university-wide resources (e.g., graduate CS department, informatics group, medical faculty and staff, epidemiologists, statisticians) to maximize data usage for improving patient outcomes.
  6. Knowledge Sharing: Demystify complex deep learning and statistical learning techniques, both in application to our data and in understanding published research.
  7. Project Support: Strengthen ongoing projects such as designing patient risk scorecards, waveform analysis, and generative AI integration.
Transitioning Responsibilities:
  1. Waveform Lab Leadership: Lead the establishment and development of a waveform lab within the data science team.
  2. Hiring and Training: Recruit, hire, and train PhD students, Post-Docs, and junior faculty, providing guidance and leadership in their research endeavors.
  3. Research Direction: Set the research agenda for the waveform lab, focusing on innovative applications of data science in anesthesiology.
  4. Funding and Grants: Secure funding through grants and other sources to support the lab's research activities.
  5. Collaboration Expansion: Expand collaborative efforts with other departments and institutions to enhance research output and impact.
  6. Academic Contributions: Contribute to the academic mission of the department through teaching, publishing research, and participating in academic conferences.

Required Qualifications
  1. PhD in Mathematics, Science, Data Science, Computer Science, Statistics, or a related field.
  2. Strong background in advanced data analysis techniques, including artificial intelligence, machine learning, data mining, and predictive analytics.
  3. Experience with large, unstructured data sources and the development of analytical tools and models.
  4. Proven track record of research and publication in relevant fields.
  5. Excellent communication skills, with the ability to present complex findings to diverse audiences.
  6. Experience in mentoring and training junior staff or students.
  7. Ability to work collaboratively across departments and with external partners.
Preferred Qualifications
  • Experience in healthcare data science, particularly in anesthesiology or a related medical field.
  • Prior experience in leading research teams or labs.
  • Demonstrated success in securing research funding.
Posting Detail Information
Posting Number F2666P Open Date 06/27/2025 Close Date Open Until Filled No Nondiscrimination Statement
UAB is an Equal Employment/Equal Educational Opportunity Institution dedicated to providing equal opportunities and equal access to all individuals regardless of race, color, religion, ethnic or national origin, sex (including pregnancy), genetic information, age, disability, religion, and veteran's status. As required by Title IX, UAB prohibits sex discrimination in any education program or activity that it operates. Individuals may report concerns or questions to UAB's Assistant Vice President and Senior Title IX Coordinator. The Title IX notice of nondiscrimination is located at uab.edu/titleix.
Special Instructions to Applicants Pre-employment Background Check
A pre-employment background check investigation is performed on candidates selected for employment.
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About University of Alabama at Birmingham

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The University of Alabama at Birmingham is the heartbeat of Birmingham and an integral medical leader in the Southeast. The Birmingham campus is within walking distance of some of the best parks, entertainment, and dining in the region. UAB's three regional campuses expand their academic reach and responsibilities in addition to educating physicians in rural and underserved areas of the state. UAB is experiencing major and sustained investment and growth, due both to its exceptional research faculty and its culture of collaboration. Through concerted and strategic investments in its clinical and research enterprise, UAB has undergone an amazing transformation in the past five years and has strengthened its status and reputation as a leader in medical training, biomedical discovery, innovation, and patient care.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Birmingham, AL, US

Year founded

1859

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