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Healthcare Data Scientist Entry Level Jobs (NOW HIRING)

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 ...

Option Care

Healthcare Data Analyst

Bannockburn, IL

$70K - $117K/yr

... healthcare cost data. * Translates specific business issues and questions into appropriate ... Bachelor's Degree in relevant field (Information Science, Computer Science, Actuarial Science ...

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 ...

Dugong Global

Healthcare Data Analyst

New York, NY · On-site

... Data Analytics, Statistics, Computer Science, Public Health, Mathematics, or a related field ... Knowledge of healthcare data concepts, healthcare workflows, or Electronic Health Records (EHR ...

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 ...

Apex Informatics

Data Scientist

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 ...

Tactile Medical

Data Scientist

Minneapolis, MN · On-site

... messy healthcare commercial data, intellectual curiosity, and the communication discipline to translate technical findings into commercial language • Expert-level modern data science skills in ...

Tactile Medical

Data Scientist

Minneapolis, MN · On-site +1

$100K - $150K/yr

... messy healthcare commercial data, intellectual curiosity, and the communication discipline to translate technical findings into commercial language • Expert-level modern data science skills in ...

Tactile Medical

Data Scientist

Minneapolis, MN · On-site

$100K - $150K/yr

... messy healthcare commercial data, intellectual curiosity, and the communication discipline to translate technical findings into commercial language • Expert-level modern data science skills in ...

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All JobsHealthcare Data Scientist JobsHealthcare Data Scientist Entry Level Jobs

Healthcare Data Scientist Entry Level information

See salary details

$46K

$165K

$243.5K

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

As of Jul 18, 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.

How to get into data science in healthcare?

To become a healthcare data scientist, develop strong skills in statistics, programming (such as Python or R), and data analysis. Gaining experience with healthcare datasets, understanding medical terminology, and obtaining relevant certifications like Certified Health Data Analyst (CHDA) can improve job prospects.

Can I get a data scientist job with no experience?

Entry-level healthcare data scientist positions often require some knowledge of data analysis, programming languages like Python or R, and familiarity with healthcare data. While prior experience is not always mandatory, demonstrating relevant skills through coursework, certifications, or projects can improve chances of securing an entry-level role.

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.

Is 30 too late for data science?

For an entry-level healthcare data scientist role, starting a career at age 30 is not too late. Many professionals transition into data science later in life, and acquiring relevant skills such as programming, statistics, and domain knowledge can be done through online courses or certifications at any age.

How do I become a data scientist with no experience?

To become an entry-level healthcare data scientist with no experience, focus on building foundational skills in statistics, programming (such as Python or R), and data analysis. Gaining practical experience through online courses, certifications, and projects using real datasets can help demonstrate your abilities to employers.
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 July 2026, with employment types broken down into 50% Part Time, and 50% Contract. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Healthcare Statistical Data Scientist

Healthcare Statistical Data Scientist

SmartLight Analytics

Plano, TX • On-site, Remote

Full-time

Posted 5 days ago

Job description

In this role of Healthcare Statistical Data Scientist, you will support the development of analytical models to identify payment anomalies in client healthcare claims data (fraud, waste, or abuse). The results from your work will be reviewed by clinical analysts for outcome success. To be successful in this role, you will have foundational knowledge of statistical models, data mining, and machine learning, as well as a growing ability to combine analytical skills with business context in a healthcare setting.
Responsibilities
  • Support the research and development of analytical models for new and ongoing product lines under the guidance of senior data scientists.
  • Apply ML techniques including gradient boosting, NLP, and probabilistic modeling, with guidance on approach selection and implementation.
  • Assist in developing and training machine-learning models for use cases such as claims cost prediction, fraud and abuse detection, and provider performance analysis.
  • Contribute to ongoing monitoring of product lines, including tracking success metrics to support executive decision-making.
  • Develop understanding of key organizational initiatives and contribute analytical work that supports actionable recommendations.
  • Analyze and interpret medical, pharmacy, and dental claims data (CPT/HCPCS, ICD-10, DRG, NDC) with growing independence.
  • Translate domain knowledge into features and model strategies with direction from senior team members.
  • Collaborate with clinicians, product managers, and business stakeholders to understand problem definitions and measurement approaches.
  • Communicate analytical findings clearly to team members and stakeholders, with support on complex or executive-facing deliverables.
  • Qualifications
  • 2+ years of experience in healthcare analytics or a related analytical role; equivalent academic project experience considered.
  • Foundational exposure to statistical, analytical, or data mining techniques and a demonstrated ability to apply them in a business context.
  • Proficiency in Python and SQL programming required.
  • Basic understanding of healthcare claims, adjudication, and claims content; willingness to deepen knowledge on the job.
  • Familiarity with healthcare data and common analytics terminology (ICD, CPT, REV, DRG, etc.) preferred.
  • Demonstrated ability to solve problems with moderate direction and escalate appropriately when needed.

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