Senior Data Scientist

Join a mission-driven healthcare technology team working to transform cardiovascular care through data, analytics, and value-based healthcare models. In this role, you will design and build the foundational data architecture that enables healthcare providers to improve patient outcomes while reducing costs. You will take ownership of core healthcare data models, production-grade pipelines, data quality, and integrations with electronic health record systems. Working at an early-stage startup, you will have the opportunity to shape technical decisions, establish engineering best practices, and build scalable solutions from the ground up. Your expertise will help turn complex clinical and operational data into reliable, actionable insights. This is an opportunity to combine advanced data engineering with meaningful healthcare impact in a collaborative, fast-paced environment.

You bring extensive hands-on experience building healthcare data systems and designing scalable data architectures. You understand the complexity of clinical data, interoperability, and regulatory compliance, and you can translate diverse business and clinical requirements into reliable technical solutions. You are comfortable taking ownership in an early-stage environment, balancing architectural quality with practical execution, and making thoughtful decisions about system design, performance, and security.

• At least 8 years of dedicated professional experience in data science or data engineering, preferably in a startup or fast-paced healthcare technology environment.

• Deep, hands-on experience working with healthcare data standards and common data models, including TUVA, OMOP, or FHIR.

• Demonstrated experience designing foundational data models and schemas from scratch and translating clinical, business, product, and user requirements into scalable structures.

• Proven ability to map raw healthcare data into standardized models and resolve data quality, terminology, normalization, and structural inconsistencies.

• Direct experience integrating with EMR/EHR platforms, ideally including eClinicalWorks, AthenaOne, Epic, or comparable systems.

• Knowledge of healthcare data regulations and security requirements, including HIPAA and HITRUST, as well as healthcare data formats such as FHIR.

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

• Expert proficiency in SQL and at least one programming language used for data processing, such as Python or Scala.

• Extensive experience designing and managing data warehouses, such as Snowflake, Google BigQuery, or AWS Redshift.

• Experience with data lake technologies, including Amazon S3 or Delta Lake.

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

• Strong understanding of cloud platforms, preferably AWS, including services such as S3, Lambda, and RDS.

• Practical experience with workflow orchestration tools such as Apache Airflow or AWS Step Functions.

• Deep knowledge of system architecture, scalability, data reliability, and performance optimization.

• Experience with test automation, continuous integration and continuous delivery (CI/CD), and DevOps best practices for data deployments.

• Strong problem-solving skills, technical judgment, and the ability to work independently while making high-impact architectural decisions.

• Legal authorization to work in the United States without requiring employer sponsorship now or in the future.

• Location: Pittsburgh is preferred, but remote work is available for eligible candidates based in the United States.

• Employment type: Full-time.

• The organization is committed to equal employment opportunities and an inclusive workplace. Employment decisions are based on qualifications, merit, and business needs, without discrimination based on legally protected characteristics.