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Healthcare Data Science Jobs in Kansas (NOW HIRING)

Healthcare Coordinator

Lawrence, KS · On-site

$15.75 - $22/hr

The Healthcare Coordinator should support each patient in a consultative and educational manner ... Process Focused Operator (data driven decision-maker; detailed; organized and structured ...

The primary role of the Healthcare Coordinator (HC) is to partner with supported Dentists to help ... Process Focused Operator (data driven decision-maker; detailed; organized and structured ...

The primary role of the Healthcare Coordinator (HC) is to partner with supported Dentists to help ... Process Focused Operator (data driven decision-maker; detailed; organized and structured ...

The primary role of the Healthcare Coordinator (HC) is to partner with supported Dentists to help ... Process Focused Operator (data driven decision-maker; detailed; organized and structured ...

Healthcare Coordinator

Olathe, KS · On-site

$16.50 - $23/hr

The Healthcare Coordinator should support each patient in a consultative and educational manner ... Process Focused Operator (data driven decision-maker; detailed; organized and structured ...

The primary role of the Healthcare Coordinator (HC) is to partner with supported Dentists to help ... Process Focused Operator (data driven decision-maker; detailed; organized and structured ...

Staff Data Scientist

Newton, KS · On-site

$160K - $240K/yr

... science and applied AI in the Central Data and Analytics Organization. Pricing decisions are made ... Since 1933, we've believed in taking care of our customers, our guests, our communities, and each ...

Senior Data Engineer

Kansas, KS · On-site +1

$93K - $127K/yr

You'll build the pipelines and data foundations that provide line of sight into product health, adoption, and performance turning raw, messy data into clean, usable datasets that data scientists ...

Showing results 21-40

Healthcare Data Science information

See Kansas salary details

$41K

$147.2K

$217.2K

How much do healthcare data science jobs pay per year?

As of Sep 2, 2026, the average yearly pay for healthcare data science in Kansas is $147,171.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $151,600.00 per year, depending on experience, location, and employer.

What is healthcare data science?

Healthcare data science is a field that uses data analysis, statistics, and machine learning to extract insights from health-related data. Professionals in this area work with large datasets from sources like electronic health records, clinical trials, and wearable devices. Their goal is to improve patient outcomes, optimize hospital operations, and support medical research by turning raw data into actionable information. This field requires knowledge of healthcare systems, data management, and advanced analytics techniques.

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

To thrive as a Healthcare Data Scientist, you need a strong background in statistics, data analysis, programming (Python or R), and an understanding of healthcare systems, often supported by a degree in data science, computer science, or a related field. Experience with tools like SQL, machine learning frameworks, and familiarity with electronic health record (EHR) systems are typically required. Strong problem-solving skills, attention to detail, and effective communication help translate complex data insights into actionable healthcare solutions. These skills are crucial for deriving meaningful insights from complex healthcare data, improving patient outcomes, and supporting evidence-based decision-making.

What are some common challenges faced by healthcare data scientists when working with clinical data?

Healthcare data scientists often navigate challenges such as dealing with incomplete or inconsistent medical records, ensuring patient privacy and data security, and integrating data from diverse sources like electronic health records, lab results, and imaging systems. Additionally, they must collaborate closely with clinicians and IT staff to interpret complex datasets accurately and ensure that their analyses have practical clinical value. Maintaining compliance with healthcare regulations, such as HIPAA, is also a critical aspect of the role.

What is the difference between Healthcare Data Science vs Healthcare Data Analysis?

AspectHealthcare Data ScienceHealthcare Data Analysis
Required CredentialsTypically requires a degree in data science, statistics, or related fields; often includes programming skills and knowledge of machine learningUsually requires a background in healthcare, statistics, or data analysis; may include certifications in data analysis tools
Work EnvironmentInvolves developing models, algorithms, and predictive analytics; often in research or tech-focused settingsFocuses on interpreting data, generating reports, and supporting clinical or administrative decisions
Employer & Industry UsageUsed by healthcare tech companies, research institutions, and large healthcare providersCommon in hospitals, clinics, insurance companies, and healthcare consulting firms

Healthcare Data Science and Healthcare Data Analysis share overlapping skills but differ mainly in scope. Data scientists develop advanced models and predictive tools, while data analysts focus on interpreting data and generating insights. Both roles are vital in healthcare but serve different functions within the industry.

Can a healthcare data scientist work in healthcare?

Yes, healthcare data scientists work within healthcare organizations to analyze medical data, improve patient outcomes, and optimize operational efficiency. They often use tools like Python, R, and SQL, and require knowledge of healthcare systems, data privacy regulations, and statistical methods.

What can you do with a degree in healthcare data science?

A degree in healthcare data science prepares individuals for roles such as healthcare data analyst, data scientist, or informaticist, where they analyze medical data, develop predictive models, and improve patient outcomes. Skills in programming, statistics, and knowledge of healthcare systems are essential, and familiarity with tools like Python, R, and electronic health records is often required.

What are popular job titles related to Healthcare Data Science jobs in Kansas?

For Healthcare Data Science jobs in Kansas, the most frequently searched job titles are:

What cities in Kansas are hiring for Healthcare Data Science jobs?

Cities in Kansas with the most Healthcare Data Science job openings:

Infographic showing various Healthcare Data Science job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $147,171 per year, or $70.8 per hour.

$107K - $172K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 28 days ago


Blue Cross and Blue Shield of North Carolina rating

7.8

Company rating: 7.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

196th of 315 rated insurance


Job description

Job Description

The Senior Data Modeler designs, implements, and documents more complex data architecture and data modeling solutions, which include the use of relational, dimensional, and NoSQL databases. These solutions support enterprise data management, business intelligence, machine learning, data science, and other business interests.

What You'll Do

  • Data Modeling: Creates fully attributed and documented conceptual, logical and physical models using ER and Dimensional modeling techniques.

  • Requirement Analysis: Analyzes data to verify business requirements and design the data models.

  • Data Architecture: Participates in project specific architectural working groups to provide expertise in modeling. Provides inputs on the data management of data assets in all data stores and governs the storage of data in different layers of the data stores. Provides architectural inputs on the data consumption layers, access and security requirements. Documents data flows from its origination and acquisition points. Oversee and govern the expansion of existing data architecture.

  • Standard Query Language: Generates first cut physical model DDL and SQL for views for implementation by the DBA.

  • Documentation: Creates, validates, and updates the data dictionary by coordinating with data governance team and business users.

  • Standards & Process: Facilitates model review sessions. Creates, follows, and revises the data modeling standards and guidelines for different data stores.

  • Data Modeling on Snowflake platform: Play a key role in designing the Silver and Gold analytical layers in Snowflake to build trusted analytical platform serving various business capabilities for different departments within the payer industry.

  • Leading and mentoring - Provide the expert knowledge to other data modelers, reviews work of other modelers to verify it meets enterprise standards and guidelines. Provides inputs on process improvements and maturing the data modeling practice.

What You Bring

  • Bachelor's degree or advanced degree (where required)

  • 5+ years of experience in related field.

  • In lieu of degree, 7+ years of experience in related field.

Preferred Experience

  • Experience leading other data modelers in a successful full life-cycle enterprise data warehousing effort

  • Healthcare domain experience preferred especially EHR/Clinical domain

  • Exposure working on Snowflake platform.

  • Experience and exposure with HL7 FHIR (Fast Healthcare Interoperability Resources) profiles and resources in order to map enterprise data or source data to appropriate FHIR resources.

  • Working experience on ERStudio or similar data modeling tool

  • Extensive experience of ER and Dimensional modeling concepts

WhatYou'llGet

  • The opportunity to work at thecutting edgeof health care delivery with a teamthat'sdeeply invested in the community

  • Work-life balance, flexibility, and the autonomy to dogreat work

  • Medical, dental, and vision coverage along withnumeroushealth and wellness programs

  • Parental leave and support plus adoption and surrogacyassistance

  • Career development programs and tuition reimbursement for continued education

  • 401k match including an annual company contribution

  • Learn more

WhereYou'llWork

Our Hybrid Flex approach is builton presencewith a purpose - giving you flexibility to work remotely with intentional in-person connection - that supports a workplacethat'sflexible, connected, and future focused.

In a Hybrid-Flex role,you'llwork in the office at least two days a week for collaboration and connection. In a Remote Flex role,you'llwork virtually, with a few in-office visits each year formeaningfulmoments that matter.

Whether your role is Hybrid Flex or Remote Flex depends on the nature of the work and distance from our Durham headquarters. We welcome candidates from outside the local area and in anystateslistedonthis job posting. Onsite expectations will be discussed during the interview process.

Salary Range

At Blue Cross NC, we take great pride in a fair and equitable compensation package that reflects market-price and our starting salaries are typically planned near the middle of the range listed. Compensation decisions are driven by factors including experience and training, specialized skill sets, licensure and certifications and other business and organizational needs.Our base salary is part of a robust Total Rewards package that includes an Annual Incentive Bonus*, 401(k) with employer match, Paid Time Off (PTO), and competitive health benefits and wellness programs.

*Based on annual corporate goal achievement and individual performance.

$107,901.00 - $172,642.00

Skills

Data Analysis, Data Architecture Development, Database Design, Data Designing, Data Dictionary, Data Engineering, Data Governance, Data Governance Framework, Data Mining, Data Model Design, Data Modeling, Data Science, Data Warehousing (DW), Enterprise Data, Requirements Analysis

_____________________________________________________________________
JOB ALERT FRAUD: We have become aware of scams from individuals, organizations, and internet sites claiming to represent Blue Cross and Blue Shield of North Carolina in recruitment activities in return for disclosing financial information. Our hiring process does not include text-based conversations or interviews and never requires payment or fees from job applicants. All our career opportunities are published on https://bcbsnc.wd5.myworkdayjobs.com/en-US/BCBSNC. If you have already provided your personal information that you suspect is fraudulent activity, please report it to your local authorities. Any fraudulent activity should be reported to: HR.Staffing@BCBSNC.com.


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