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Healthcare Data Scientist Entry Level Jobs (NOW HIRING)

Medclinicx

Healthcare Data Scientist

San Francisco, CA · On-site

$120 - $180/hr

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 ...

New

WellSky

Data Scientist

Overland Park, KS

$2.5K/yr

The Data Scientist is responsible for turning unstructured healthcare data into standardized, analysis-ready assets that power Life Sciences and RWE use cases. Working within the internal data ...

WellSky

Data Scientist

Overland Park, KS · On-site

The Data Scientist is responsible for turning unstructured healthcare data into standardized, analysis-ready assets that power Life Sciences and RWE use cases. Working within the internal data ...

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 ...

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 ...

WellSky

Data Scientist

Overland Park, KS · On-site

The Data Scientist role focuses on turning clinical conversations into accurate, useful ... healthcare data and attention to safety in clinical documentation. • Perform other job duties as ...

Lthc

Healthcare Data Analyst

Utica, NY · On-site

Contributes, in partnership with Data Science to develop predictive cost savings models (or other ... Knowledge of the health care system and experience working with physician or hospital claims/group ...

Lthc

Healthcare Data Analyst

Dewitt, MI · On-site

Contributes, in partnership with Data Science to develop predictive cost savings models (or other ... Knowledge of the health care system and experience working with physician or hospital claims/group ...

Lthc

Healthcare Data Analyst

Albany, NY · On-site

Contributes, in partnership with Data Science to develop predictive cost savings models (or other ... Knowledge of the health care system and experience working with physician or hospital claims/group ...

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All JobsHealthcare Data Scientist JobsHealthcare Data Scientist Entry Level Jobs

Healthcare Data Scientist Entry Level information

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$46K

$165K

$243.5K

How much do healthcare data scientist entry level jobs pay per year?

As of Aug 8, 2026, the average yearly pay for healthcare data scientist entry level in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between Healthcare Data Scientist Entry Level vs Healthcare Data Analyst?

AspectHealthcare Data Scientist Entry LevelHealthcare Data Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; familiarity with programming languages like Python or RBachelor's degree in health informatics, statistics, or related field; proficiency in data analysis tools
Work EnvironmentHealthcare organizations, research institutions, or tech companies focusing on healthcare data projectsHospitals, clinics, insurance companies, or healthcare consulting firms
Employer & Industry UsageUsed for developing predictive models, machine learning applications, and advanced analytics in healthcareUsed for reporting, data visualization, and basic analysis of healthcare data

The main difference between Healthcare Data Scientist Entry Level and Healthcare Data Analyst lies in the complexity of tasks and skill set. Data scientists focus on building models and advanced analytics, requiring programming and statistical expertise, while data analysts primarily handle data reporting and visualization. Both roles are essential in healthcare but serve different functions based on skill level and project scope.

More about Healthcare Data Scientist Entry Level jobs
What cities are hiring for Healthcare Data Scientist Entry Level jobs? Cities with the most Healthcare Data Scientist Entry Level job openings:
What are the most commonly searched types of Healthcare Data Scientist jobs? The most popular types of Healthcare Data Scientist jobs are:
What states have the most Healthcare Data Scientist Entry Level jobs? States with the most job openings for Healthcare Data Scientist Entry Level jobs include:
What job categories do people searching Healthcare Data Scientist Entry Level jobs look for? The top searched job categories for Healthcare Data Scientist Entry Level jobs are:
Healthcare Data Scientist Entry Level jobs near you
Infographic showing various Healthcare Data Scientist Entry Level job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Healthcare Data Scientist

Medclinicx

San Francisco, CA • On-site

$120 - $180/hr

Other

Posted 3 days ago

New

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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