Data Scientist, Prenatal
Core
Full-stack data scientist supporting the prenatal data team by ingesting data, building models, and delivering insights to drive commercial, lab, and clinical decisions.
Role type
Mid-level full-stack data scientist (analytics engineering + data science)
Builds
Central analytical data warehouse, clean data models, Tableau dashboards, and self-serve analytics tools
Domain
Healthcare / Molecular Diagnostics / Prenatal Screening
Deliverable
dashboards & analysis
Required skills
SQL, Python (or R), data manipulation, working with messy/disparate data sources, clinical/regulated data experience, AI tool usage
Preferred skills
dbt, Airflow, Tableau, AWS (S3, Batch, RDS, MWAA), bioinformatics, molecular diagnostics, healthcare landscape knowledge
Technologies
SQL, Python, R, Tableau, dbt, Airflow, AWS, Clarity
Responsibilities
Ingest data from disparate sources into the central data warehouse; build clean and well-tested data models; deliver analyses, dashboards, and tooling for stakeholders; partner with stakeholders to answer high-stakes questions (lab turnaround, sales opportunities, clinical outcomes, business metrics); maintain the central analytical data warehouse; use AI tools to accelerate work and build HIPAA-compliant workflows
Seniority
Mid-level, hands-on IC