Senior Data Scientist
New
K
Karoo HealthHealthcare data
Remote, U.S.-basedFull-TimeSenior
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- Minimum 8 years of dedicated professional experience in a Data Scientist or Data Engineering role
- Required Skills
- AWSPythonSQLSparkScalaData modeling
Requirements
- Have deep hands-on experience with healthcare data and standards or common data models such as TUVA, OMOP, or FHIR.
- Have designed core data models and schemas from scratch, translating business, clinical, product, or user requirements into scalable data structures.
- Have mapped raw healthcare data into standardized models, resolving data quality, normalization, terminology, and structural inconsistencies.
- Have hands-on experience integrating directly with EMR/EHR platforms; eClinicalWorks, AthenaOne, or Epic experience is preferred.
- Have experience with healthcare data regulations such as HIPAA and HITRUST, and healthcare data formats such as FHIR.
- Hold a bachelor's degree in Computer Science, Software Engineering, or a related field, or have equivalent work experience.
- Have at least 8 years of professional experience in a Data Scientist or Data Engineering role.
- Have expert proficiency in SQL and at least one data-processing language: Python or Scala.
- Have deep experience designing and managing data warehouses such as Snowflake, Google BigQuery, or AWS Redshift, and experience with data lakes such as S3 or Delta Lake.
- Have hands-on experience with big data frameworks such as Apache Spark or Dask.
- Understand cloud platforms and cloud-native development; AWS is preferred, including services such as S3, Lambda, and RDS.
- Have hands-on experience with workflow orchestration tools such as Apache Airflow or AWS Step Functions.
Responsibilities
- Design, build, install, and optimize reliable, scalable, and secure data architecture.
- Own the design and evolution of healthcare data models and schemas using standards such as TUVA, OMOP, and FHIR.
- Build and maintain production data pipelines that ingest, process, enrich, and normalize healthcare data.
- Establish data quality standards, monitoring, and validation processes.
- Optimize data processing and retrieval through query tuning, indexing, and partitioning.
- Design and deploy scalable, secure cloud infrastructure using infrastructure-as-code practices.
- Implement data security practices and ensure compliance with healthcare data regulations.
- Develop direct, bidirectional integrations with electronic medical record platforms.
View Full Description & ApplyYou'll be redirected to the employer's site
