Note: The job is a remote job and is open to candidates in USA. Karoo Health is seeking a Senior Data Scientist to build and maintain scalable, secure healthcare data systems and models. The role focuses on healthcare data pipelines, data quality and governance, cloud infrastructure, regulatory compliance, and EMR integrations supporting value-based cardiovascular care.
Responsibilities
- Design and Architect Data Systems: Lead the design, construction, installation, and optimization of highly reliable, scalable, and secure data architecture
- Design Core Healthcare Data Models: Own the design and evolution of foundational data models and schemas from the ground up, leveraging industry standards such as TUVA, OMOP and FHIR to translate clinical, operational, product, and reporting needs into scalable table structures, entities, and relationships
- Develop Data Pipelines: Build and maintain complex, production-grade data pipelines that ingest, process, enrich and normalize large volumes of healthcare data ensuring consistency, usability, and data integrity across downstream applications
- Data Quality and Governance: Establish and enforce data quality standards, monitoring, and validation processes to ensure the accuracy, completeness, and consistency of data used for analytics
- Performance Optimization: Implement query tuning, indexing, and partitioning strategies to maximize the performance and efficiency of data processing systems and data retrieval
- Cloud Infrastructure: Design and deploy scalable, secure, cloud infrastructure leveraging infrastructure-as-code best practices
- Safeguard Data: Ensure strict compliance with healthcare data regulations (e.g., HIPAA, HITRUST) and implement data security best practices
- Build and Maintain EMR Integrations: Develop direct, bi-directional integrations with electronic medical record platforms
Skills
- In order to do this job well, you must be a curious and eager problem solver with a hunger for building well-designed, high-quality solutions
- You have a passion for great work and strive to produce simple solutions to complex problems
- Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward
- Deep, hands-on experience working with healthcare data, including healthcare data standards and common data models such as TUVA, OMOP, or FHIR
- Demonstrated experience designing core data models and schemas from scratch, including translating business, clinical, product, or user requirements into scalable data structures
- Experience mapping raw healthcare data into standardized healthcare data models, including resolving data quality, normalization, terminology, and structural inconsistencies
- Experience with healthcare data regulations (e.g., HIPAA, HITRUST) and data formats (e.g. FHIR)
- Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent work experience
- Minimum 8 years of dedicated professional experience in a Data Scientist or Data Engineering role
- Expert proficiency in ****SQL**** and at least one programming language used for data processing (****Python**** or Scala)
- Deep experience designing and managing ****Data Warehouses**** (e.g., Snowflake, Google BigQuery, AWS Redshift) and experience with Data Lake technologies (e.g., S3, Delta Lake)
- Demonstrated hands-on experience with ****Big Data processing frameworks**** like ****Apache Spark**** or Dask
- Deep understanding of ****cloud platforms (AWS preferred)**** and cloud-native development, including services like S3, Lambda, and RDS
- Hands-on experience with workflow orchestration tools such as ****Apache Airflow**** or AWS Step Functions for managing data pipelines
- Expert knowledge of system architecture, scalability, and performance optimization for data systems
- Experience with test automation, CI/CD, and DevOps best practices for data deployments
- Ability to work independently and make high-impact technical decisions
- Must be legally authorized to work in the United States and not require employer sponsorship now or in the future
- Pittsburgh preferred
- Preferably within a startup or fast-paced healthcare technology environment
Benefits
- Equity in an early-stage startup.
- Opportunity to define the technical solution from the ground up.
- Possibly fully remote work environment with flexible hours.
- Health benefits.
- Learning stipends.
- Professional development support.
- A collaborative and transparent company culture that values creativity and ownership.
Company Overview