ZipRecruiter

Log In

1

Internship Healthcare Data Science Jobs (NOW HIRING)

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 ...

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 ...

Waymark

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 ...

Blue & Co.

Healthcare Data Engineer

Indianapolis, IN · On-site

$110 - $170/hr

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

Curant Health

Healthcare Data Analyst

Smyrna, GA

The ideal candidate is analytical, detail-oriented, comfortable working with data, and interested in developing their career in healthcare analytics and business intelligence. Duties and ...

Scalepex

Healthcare Data Analyst

Dallas, TX

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 ...

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 ...

Pwc

Payer Healthcare Data Scientist, Manager

Miami, FL · 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

Denver, CO

$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 ...

WellSky

Data Scientist

Overland Park, KS · On-site

$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 ...

Pwc

Payer Healthcare Data Scientist, Manager

Houston, TX

$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 ...

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 ...

Pwc

Payer Healthcare Data Scientist, Manager

Dallas, TX · 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 ...

previous pagenext page

Showing results 21-40

All Jobsinternship JobsTechnology JobsData JobsBusiness Intelligence Analyst JobsInternship Healthcare Data Science Jobs

Internship Healthcare Data Science information

See salary details

$12

$22

$42

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

As of Aug 20, 2026, the average hourly pay for internship healthcare data science in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is an internship in healthcare data science?

An internship in healthcare data science is a temporary position, often for students or recent graduates, that provides hands-on experience in analyzing and interpreting healthcare data. Interns typically work with professionals on projects involving data cleaning, statistical analysis, machine learning, and data visualization to support healthcare decision-making and improve patient outcomes. These internships help participants develop technical skills, gain industry knowledge, and build professional networks in the rapidly growing field of healthcare data science.

What are the key skills and qualifications needed to thrive as an internship in healthcare data science?

To thrive as an intern in healthcare data science, you need a solid grasp of statistics, data analysis, and programming languages such as Python or R, typically supported by coursework or a degree in data science, computer science, or a related field. Familiarity with data visualization tools (e.g., Tableau), healthcare databases (e.g., EHR systems), and knowledge of HIPAA regulations are often expected. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in this role. These capabilities are essential for transforming complex healthcare data into actionable insights that improve patient outcomes and support data-driven decision-making.

What types of projects do interns in healthcare data science typically work on, and how do these projects contribute to real-world healthcare improvements?

Interns in Healthcare Data Science often work on projects such as analyzing patient data to identify trends, developing predictive models for disease progression, or optimizing hospital resource allocation. These projects are usually part of larger, cross-functional teams including clinicians, IT specialists, and senior data scientists. The outcomes of your work can directly impact patient care processes, inform decision-making, and improve operational efficiency in healthcare settings. Expect regular mentorship and feedback, as well as opportunities to present your findings to technical and non-technical stakeholders.

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

AspectInternship Healthcare Data ScienceHealthcare Data Analyst
Required CredentialsTypically pursuing or recent graduate in data science, statistics, or related fieldOften requires degree in health informatics, statistics, or related field
Work EnvironmentInternship setting, often in hospitals, healthcare tech companies, or research institutionsFull-time or part-time roles in healthcare organizations, clinics, or health IT firms
Employer & Industry UsageUsed by healthcare providers, research institutions, and tech companies for training and entry-level rolesCommon in hospitals, insurance companies, and healthcare consulting firms for data analysis tasks

Internship Healthcare Data Science positions are entry-level, focused on training and gaining experience in data science techniques applied to healthcare. Healthcare Data Analysts are more established roles, responsible for analyzing healthcare data to support decision-making. Both roles require similar educational backgrounds but differ in experience level and job responsibilities.

Can data science be used in healthcare?

Healthcare Data Science is a field that applies data analysis, machine learning, and statistical methods to improve patient outcomes, optimize operations, and support clinical decision-making. Data scientists in healthcare often work with electronic health records, medical imaging, and health-related datasets using tools like Python, R, and SQL. This role requires understanding healthcare regulations and data privacy standards such as HIPAA.

How do I become a healthcare data scientist?

To become a healthcare data scientist, you typically need a strong background in data science, statistics, or computer science, often with a relevant bachelor's or master's degree. Skills in programming languages like Python or R, knowledge of healthcare data systems, and experience with machine learning are essential. Gaining certifications in data analysis or healthcare informatics can also enhance your qualifications.

How to get an internship in healthcare data science?

To secure a healthcare data science internship, candidates should have a strong foundation in data analysis, programming (such as Python or R), and knowledge of healthcare systems. Relevant coursework, certifications in data science or healthcare analytics, and experience with tools like SQL and machine learning can improve chances. Applying through university career services, networking with industry professionals, and demonstrating project work are also effective strategies.
More about Internship Healthcare Data Science jobs

What cities are hiring for Internship Healthcare Data Science jobs?

Cities with the most Internship 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 Internship Healthcare Data Science jobs?

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

What job categories do people searching Internship Healthcare Data Science jobs look for?

The top searched job categories for Internship Healthcare Data Science jobs are:

Internship Healthcare Data Science jobs near you
Infographic showing various Internship Healthcare Data Science job openings in the United States as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Clinical Data Scientist (Remote)

Latica AI

Remote

Full-time

Re-posted 14 days ago

Job description

About Latica
At Latica, our goal is to unlock the value of healthcare data to transform patient care.Latica is a community data network and clinical AI platform that enables to safely access de-identified real-world data and accelerate diagnostic and therapeutic innovation.Our platform enables fast, compliant access to diverse clinical data, advancing R&D for diagnostics, therapeutics, pharmaceutical studies, and medical devices. 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 high-potential, humble team members who grow their responsibilities as the company scales.
What You'll Do
  • Lead end-to-end medical research projects with top-tier life science companies.
  • Conduct EMR data exploration and extract relevant clinical features.
  • Apply LLM-based feature engineering to transform unstructured data into clinical insights.
  • Support clinical protocol design from a data and feasibility perspective.
  • Perform statistical analyses and present results to clients (dashboards, publications, presentations).
  • Become a subject matter expert in our proprietary healthcare data.
  • Develop cross-client pipelines to support our data infrastructure and product.
  • Build diverse patient cohorts and datasets to continuously enrich Latica's data catalog.
Requirements
Must Have
  • 5+ years of experience as a Data Scientist or in a similar analytical role, with 3+ years in the healthcare industry (required).
  • Experience in client-facing roles and working with pharmaceutical or life sciences companies (required).
  • Advanced proficiency in Python and SQL.
  • Deep familiarity with Electronic Medical Records (EMRs) and healthcare coding systems (CPT, ICD-10, etc.).
  • Experience with cloud infrastructure platforms (AWS/GCP) - preferred.
  • A collaborative team player who is self-motivated, quick to learn, and possesses excellent analytical, research, and business acumen.

Extra Credit
  • R, Large Language Models, and data pipelines
Tech Stack
Python, Pandas, Statistical analysis, Claude code or equivalent
Compensation
Compensation will depend on factors such as skills, experience, location, and business needs.

Apply