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Assistant Healthcare Data Science Jobs (NOW HIRING)

Train and evaluate models using real-world healthcare datasets. Healthcare Data Science & Analytics ... assistant tools. Predictive analytics systems Build models to estimate readmission risks, hospital ...

We are seeking a Healthcare Data Scientist (Real-World Evidence) to answer complex healthcare and biopharma questions using large-scale real-world data and help shape the next generation of AI ...

Healthcare Data Analyst

Orange, CA · On-site

$85K - $115K/yr

... * Assist with regulatory and compliance-related reporting requirements. * Present findings and ... Bachelor's degree in Data Analytics, Health Informatics, Statistics, Computer Science, or related ...

5+ SAS & SQL programming, 3+ years data science in healthcare SAS EG, SAS Studio, SQL Developer, Office 365 Microsoft Visio, Tableau, Power BI, JIRA, Epic Systems including Clarity database, Healt ...

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 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 ...

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 ...

Design reusable data platforms that support multiple healthcare clients rather than one-off ... Bachelor's degree in Computer Science, Data Engineering, Information Systems , or a related ...

New

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 ...

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Assistant Healthcare Data Science information

What is the difference between Assistant Healthcare Data Science vs Healthcare Data Scientist?

AspectAssistant Healthcare Data ScienceHealthcare Data Scientist
Required CredentialsBachelor's degree in data science, healthcare, or related field; some roles may require certificationsMaster's or PhD in data science, statistics, or related field; advanced certifications beneficial
Work EnvironmentSupportive role in healthcare settings, hospitals, or research institutions; collaborative teamsIndependent analysis, model development, and research in healthcare organizations or tech companies
Employer & Industry UsageHospitals, clinics, healthcare providers, research institutionsHealthcare tech firms, research organizations, large healthcare systems

Assistant Healthcare Data Science roles focus on supporting data analysis and assisting senior staff, often requiring less experience. Healthcare Data Scientists lead complex projects, develop models, and require advanced education. Both roles are vital in healthcare analytics but differ in responsibilities and expertise level.

More about Assistant Healthcare Data Science jobs

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 Assistant Healthcare Data Science jobs?

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

Infographic showing various Assistant Healthcare Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Healthcare Data Scientist

Medclinicx

San Francisco, CA • On-site

$120 - $180/hr

Other

Posted 16 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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