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Freelance Healthcare Data Science Jobs (NOW HIRING)

Medclinicx

Healthcare Data Scientist

San Francisco, CA · On-site

$120 - $180/hr

Train and evaluate models using real-world healthcare datasets. Healthcare Data Science & Analytics * Analyze complex healthcare datasets from multiple clinical sources. * Identify trends, patterns ...

Sentara Healthcare

Healthcare Data Analyst

Norfolk, VA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Databricks Certification * Healthcare analytics or data science certifications Experience * Experience analyzing healthcare, clinical, financial, operational, or population health data. * Experience ...

Cherokee Federal

Healthcare Data Scientist

Washington, DC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

ATA is seeking a Data Scientist to support data pipeline development, validation, and analysis ... The position will work extensively with healthcare data originating from EHR systems and interface ...

Astiva Health

Healthcare Data Analyst

Orange, CA

$85K - $115K/yr

Bachelor's degree in Data Analytics, Health Informatics, Statistics, Computer Science, or related field. * 2-5+ years of healthcare data analytics experience. * Knowledge of Medicare Advantage ...

Guidehealth

Data Scientist

Boston, MA · Remote

$105K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Join us as we put healthcare on a better path!! Guidehealth's Data Science team plays a pivotal role in supporting Value-Based Care performance and operations through data analytics and informatics.

New

Astiva Health

Healthcare Data Analyst

Orange, CA · On-site

$85K - $115K/yr

Bachelor's degree in Data Analytics, Health Informatics, Statistics, Computer Science, or related field. * 2-5+ years of healthcare data analytics experience. * Knowledge of Medicare Advantage ...

Stanford Health Care

Data Scientist - AI/ML

Alto, TX

$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 ...

UC Davis Health

Senior Data Scientist

Sacramento, CA · On-site

$116K - $241K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... in healthcare data science or comparable field * Hands-on data science problem solving with real-world, complex data sets. Experience applying machine learning, predictive analytic, time series ...

Latica

Senior Data Scientist

Palo Alto, CA · On-site

$120 - $180/hr

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 enjoyable to work with. We invest in ...

Latica AI

Senior Data Scientist

Palo Alto, CA · On-site

$160K - $190K/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 enjoyable to work with. We invest in ...

Latica

Senior Data Scientist

Palo Alto, CA · On-site

$160K - $190K/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 enjoyable to work with. We invest in ...

Latica AI

Clinical Data Scientist (Remote)

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 enjoyable to work with. We invest in ...

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Freelance Healthcare Data Science information

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How much do freelance healthcare data science jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for freelance healthcare data science in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a freelance healthcare data scientist?

To thrive as a Freelance Healthcare Data Scientist, you need strong analytical skills, proficiency in statistics, and a background in fields like computer science, mathematics, or life sciences, often supported by a relevant degree. Expertise in programming languages (such as Python or R), experience with healthcare data systems (like EHRs), and familiarity with HIPAA regulations or certifications are typically required. Excellent communication, self-management, and problem-solving abilities help you effectively convey insights to clients and manage multiple projects independently. These skills are crucial for delivering actionable, compliant data solutions that improve healthcare outcomes and support client needs.

How do freelance healthcare data scientists typically collaborate with clinical teams and stakeholders?

Freelance healthcare data scientists often work closely with clinical professionals, IT teams, and administrative stakeholders to understand project goals and translate complex data findings into actionable insights. Collaboration usually involves regular virtual meetings, data-sharing protocols, and clear communication channels to ensure alignment on objectives. Freelancers must be proactive in clarifying requirements, explaining methodologies, and presenting results in a way that is accessible to non-technical team members. Building strong relationships and demonstrating adaptability are key to effective, ongoing collaboration in this role.

What is freelance healthcare data science?

Freelance healthcare data science involves working independently to analyze and interpret medical and healthcare-related data for various clients, such as hospitals, research organizations, or healthcare startups. Freelancers in this field use statistical techniques, machine learning, and data visualization tools to help improve patient outcomes, streamline operations, or support medical research. They often handle data cleaning, predictive modeling, and reporting, typically working remotely or on a project basis. Healthcare data science freelancers must be familiar with healthcare regulations and data privacy standards, such as HIPAA, to ensure compliance.
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Freelance Healthcare Data Science jobs near you
Infographic showing various Freelance 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, with an average salary of $99,230 per year, or $47.7 per hour.

Healthcare Data Scientist

Medclinicx

San Francisco, CA • On-site

$120 - $180/hr

Other

Posted 10 days ago

Job description

Med Clinic X is a healthcare technology company focused on building advanced AI-driven digital health systems for healthcare organizations across the United States.

We design and develop healthcare SaaS platforms, patient portals, AI-powered clinical systems, telemedicine solutions, automation tools, and data-driven healthcare products for clinics, hospitals, and healthcare providers.

Our mission is to transform healthcare using data, machine learning, and intelligent systems that improve patient outcomes and operational efficiency.

Job Overview

We are seeking a Healthcare Data Scientist to design and build advanced analytics models, machine learning systems, and AI-driven healthcare solutions.

In this role, you will work with large-scale healthcare datasets from clinical systems, EHR platforms, and SaaS applications to build predictive models and intelligent systems that support healthcare decision-making.

You will collaborate with engineers, product teams, clinical stakeholders, and data analysts to develop AI solutions that power the next generation of digital healthcare products.

Key Responsibilities
  • Build predictive models for healthcare outcomes and clinical insights.
  • Develop machine learning algorithms using structured and unstructured healthcare data.
  • Design AI systems for patient risk prediction and operational optimization.
  • Train and evaluate models using real-world healthcare datasets.
Healthcare Data Science & Analytics
  • Analyze complex healthcare datasets from multiple clinical sources.
  • Identify trends, patterns, and correlations in clinical and operational data.
  • Develop statistical models to support healthcare decision-making.
  • Perform feature engineering for healthcare AI systems.
  • Support AI features for healthcare SaaS platforms and patient portals.
  • Improve personalization and automation in healthcare applications.
  • Analyze user behavior and system performance in digital health platforms.
  • Build data-driven insights for healthcare product teams.
  • Work with engineers to deploy machine learning models into production systems.
  • Collaborate with product managers to define AI-driven healthcare features.
  • Support integration of AI models with healthcare APIs and platforms.
  • Ensure scalability and reliability of healthcare AI systems.
Healthcare Technology Areas You Will Work With

Train and evaluate models for disease diagnosis, clinical risk mapping, and workflow assistant tools.

Predictive analytics systems

Build models to estimate readmission risks, hospital length of stay, and operational bottlenecks.

Support clinical decision-making by surfacing patient flags directly in doctor queues.

Engineer features from longitudinal patient charts to map cardiac, diabetic, and respiratory risk trajectories.

Clinical NLP engines

Leverage LLMs and clinical BERT to extract medical terms, intents, and symptoms from doctor notes.

Healthcare SaaS intelligence

Deploy SaaS intelligence layers optimizing doctor schedules and automating intake briefs.

Core Technical Requirements

Statistical & Predictive Modeling Required

Deep Learning (TensorFlow/PyTorch) Highly Valued

EHR/EMR Dataset architectures Highly Valued

HIPAA Compliance & MLOps Preferred

Required Qualifications
  • Bachelor’s or Master’s in Data Science, CS, Stats, ML, or related field.
  • Strong experience in statistical modeling and predictive machine learning.
  • Proficiency in Python and standard ML libraries (Pandas, Scikit-learn).
  • Experience with SQL and relational/non-relational database query optimization.
Preferred Qualifications
  • Experience in US healthcare or healthcare SaaS platforms.
  • Knowledge of HIPAA regulations, anonymization, and data privacy.
  • Experience working with large EMR/EHR datasets or clinical notes.
  • Knowledge of HL7, FHIR, or healthcare data standards.
Why Join Med Clinic X?
  • Build ML systems directly used to improve real-world US clinical delivery.
  • Analyze large-scale, high-complexity longitudinal patient datasets.
  • Collaborate with top-tier engineers and clinical decision makers.
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