Senior Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead the design, construction, installation, and optimization of a highly reliable, scalable, and secure data architecture.

• Take ownership of the design and advancement of foundational healthcare data models and schemas utilizing standards such as TUVA, OMOP, and FHIR.

• Convert clinical, operational, product, and reporting requirements into scalable table structures, entities, and relationships.

• Develop and maintain production-grade data pipelines that ingest, process, enrich, and normalize substantial volumes of healthcare data.

• Ensure consistency, usability, and integrity of data across downstream applications.

• Establish and uphold data quality standards, monitoring, and validation processes.

• Implement query tuning, indexing, and partitioning strategies to enhance data processing and retrieval.

• Design and deploy scalable, secure cloud infrastructure employing infrastructure-as-code practices.

• Ensure adherence to healthcare data regulations and apply best practices for data security.

• Create direct, bi-directional integrations with electronic medical record platforms.

⛳️ Requirements

• Extensive hands-on experience with healthcare data, inclusive of healthcare data standards and common data models such as TUVA, OMOP, or FHIR.

• Proven experience in designing core data models and schemas from the ground up.

• Proficient in mapping raw healthcare data into standardized healthcare data models.

• Hands-on experience with direct integration into EMR/EHR platforms, ideally including eClinicalWorks, AthenaOne, Epic, or similar systems.

• Familiarity with healthcare data regulations like HIPAA and HITRUST, as well as data formats such as FHIR.

• Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent professional experience.

• A minimum of 8 years of dedicated professional experience in a Data Scientist or Data Engineering role.

• Expert-level proficiency in SQL and at least one programming language for data processing: Python or Scala.

• In-depth experience in designing and managing data warehouses such as Snowflake, Google BigQuery, or AWS Redshift.

• Experience with data lake technologies like S3 or Delta Lake.

• Demonstrated hands-on experience with big data processing frameworks such as Apache Spark or Dask.

• Strong understanding of cloud platforms, preferably AWS, and cloud-native development including S3, Lambda, and RDS.

• Hands-on experience with workflow orchestration tools like Apache Airflow or AWS Step Functions.

• 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 impactful technical decisions.

• Must be legally authorized to work in the United States and not require employer sponsorship now or in the future.

• Include a description of your interest in this role when applying.

🏝️ Benefits

• Competitive salary and equity in an early-stage startup.

• Potential for a fully remote work environment with flexible hours.

• Health benefits.

• Learning stipends.

• Support for professional development.

• A collaborative and transparent company culture that values creativity and ownership.

• Equitable compensation practices.

• Employee resource groups.

• Inclusive benefits.