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Remote Healthcare Data Science Jobs (NOW HIRING)

... Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data ... Remote Support * Guaranteed Regular Salary Reviews * Job Type: W2 or Contract 1099 (full-time - 40 ...

Data/AI Scientist II

$95K - $127K/yr

About this role At Waymark, our data science work is grounded in a specific and meaningful challenge: using claims, EHR, and care worker data to help community health workers, social workers ...

Data/AI Scientist II

OR · On-site +1

$95K - $127K/yr

About this role At Waymark, our data science work is grounded in a specific and meaningful challenge: using claims, EHR, and care worker data to help community health workers, social workers ...

At Counterpart Health, we are transforming healthcare and improving patient care with our ... The Data Science team is responsible for leveraging our most valuable asset-our data-to generate ...

At Counterpart Health, we are transforming healthcare and improving patient care with our ... The Data Science team is responsible for leveraging our most valuable asset-our data-to generate ...

Sr. Healthcare Data Analyst (Medicaid)

WV · On-site +1

$110K - $149K/yr

Data Science and Data Engineering Job Qualifications: Skills: Big Data, Data Analytics, Statistical ... Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our ...

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 ...

Analyze healthcare, compliance, and technical data to develop and maintain interactive reporting ... Bachelor's degree in Computer Science, Data Science, Information Systems, Data Analytics, or a ...

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 ...

Showing results 21-40

Remote Healthcare Data Science information

What is a remote healthcare data scientist?

A Remote Healthcare Data Scientist is a professional who analyzes health-related data to extract insights and improve patient outcomes, all while working from a location outside of traditional healthcare settings such as hospitals or clinics. They use statistical analysis, machine learning, and data visualization to interpret large datasets from electronic health records, clinical trials, and other health sources. Remote Healthcare Data Scientists collaborate with healthcare professionals and IT teams to develop predictive models, support research, and enhance decision-making processes, often using secure telecommunication and cloud-based tools. Their work can inform policy, improve care delivery, and support public health initiatives.

What are some common challenges faced by remote healthcare data scientists, and how can they be addressed?

Remote healthcare data scientists often encounter challenges related to data privacy regulations, fragmented data sources, and effective collaboration with clinical teams. Navigating strict patient confidentiality laws such as HIPAA requires meticulous handling of sensitive information, often necessitating secure remote access solutions. Additionally, integrating data from various electronic health record systems can be complex. To address these challenges, it's important to proactively communicate with IT and compliance teams, use secure data transfer tools, and participate in regular virtual meetings with cross-functional healthcare professionals to ensure alignment and data integrity.

What are the key skills and qualifications needed to thrive as a remote healthcare data scientist, and why are they important?

To thrive as a Remote Healthcare Data Scientist, you need a strong background in statistics, machine learning, and healthcare analytics, typically supported by a degree in data science, statistics, computer science, or a related field. Familiarity with programming languages like Python or R, data visualization tools, and experience with healthcare data systems such as EHRs or HIPAA-compliant databases are crucial. Strong problem-solving abilities, effective communication, and the capability to work independently are essential soft skills for this remote role. These skills enable professionals to extract actionable insights from complex healthcare data, ensuring data-driven decision-making and improved patient outcomes.

What is the difference between Remote Healthcare Data Science vs Remote Healthcare Data Analyst?

AspectRemote Healthcare Data ScienceRemote Healthcare Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills; knowledge of healthcare dataDegree in Data Analysis, Statistics, or related; proficiency in data tools; understanding of healthcare data
Work EnvironmentFocus on developing models, algorithms, and predictive analytics in healthcareFocus on interpreting data, generating reports, and supporting decision-making
Employer & Industry UsageUsed by healthcare tech companies, hospitals, research institutionsUsed by healthcare providers, insurance companies, consulting firms

Remote Healthcare Data Science involves building advanced models and algorithms to analyze healthcare data, requiring strong programming and statistical skills. In contrast, Remote Healthcare Data Analysts focus on interpreting data, creating reports, and supporting healthcare decision-making. Both roles are vital in healthcare analytics but differ in technical complexity and responsibilities.

More about Remote Healthcare Data Science jobs

What cities are hiring for Remote Healthcare Data Science jobs?

Cities with the most Remote 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 Remote Healthcare Data Science jobs?

States with the most job openings for Remote Healthcare Data Science jobs include:

Infographic showing various Remote Healthcare Data Science job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 100% Remote job distribution.

Lead Data Scientist - Healthcare

Tiger Analytics Inc.

Dallas, TX • Remote

Full-time

Posted 28 days ago


Job description

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

We are seeking an experienced Lead Data Scientist to drive advanced analytics initiatives focused on improving forecasting model accuracy and developing Generative AI solutions for explainability. This role requires a strong blend of machine learning expertise, forecasting experience, deep learning knowledge, and hands-on healthcare domain understanding.

Key Responsibilities

  • Lead the design, development, and enhancement of forecasting models to improve prediction accuracy and business outcomes.
  • Build and deploy advanced Deep Learning models for large-scale structured and unstructured datasets.
  • Develop Generative AI / Explainable AI solutions to provide transparent and interpretable insights from predictive models.
  • Analyze healthcare datasets including claims, patient, provider, operational, or clinical data.
  • Collaborate with business stakeholders, product teams, and engineering teams to translate business challenges into scalable AI solutions.
  • Monitor model performance, retrain models, and optimize algorithms for production environments.
  • Mentor junior data scientists and provide technical leadership across the project.
  • Ensure compliance with healthcare data privacy and governance standards.

Requirements

  • 8–10 years of experience in Data Science / Machine Learning roles.
  • Strong hands-on expertise in Forecasting models (time series, demand forecasting, predictive analytics).
  • Experience with Deep Learning frameworks such as TensorFlow, PyTorch, or Keras.
  • Proven experience building Generative AI / Explainability models using LLMs, SHAP, LIME, or similar frameworks.
  • Mandatory experience working in the Healthcare domain.
  • Strong programming skills in Python, SQL, and ML libraries.
  • Experience with cloud platforms such as AWS, Azure, or GCP preferred.
  • Excellent stakeholder communication and leadership skills.

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.