TL;DR

Senior Clinical Data Scientist (Healthcare): Develop tutorials and enablement studies leveraging clinical data to provide actionable insights and support research outcomes with an accent on data exploration, analysis, and validation. Focus on designing customer-facing reports, teaching data analysis techniques, and applying AI tools to enhance efficiency and scalability.

Location: Hybrid with flexibility to work from anywhere in the US, in-person attendance required one week per year in Seattle, WA. Must be authorized to work in the United States without visa sponsorship.

Salary: $155,000–$170,000

Company

%hirify_global% is a health provider-led data platform focused on enabling faster cures, empowering clinicians, and supporting informed healthcare decisions.

What you will do

Develop deep expertise in %hirify_global% Data and its clinical research applications.
Create customer-facing reports and tutorials with actionable recommendations.
Design tailored templates to support AI initiatives.
Present findings to diverse audiences including executives and analysts.
Develop high-quality analysis code in SQL, R, Python, and Spark for internal and customer use.

Requirements

Must be authorized to work in the United States without visa sponsorship.
Bachelor’s degree or equivalent in quantitative fields such as computer science, statistics, or economics.
Minimum 3 years of hands-on experience in data analytics with proficiency in SQL, Spark, R, and/or Python.
Strong communication skills to convey complex findings effectively.
Experience applying generative AI tools to enhance workflows.

Nice to have

Experience with large-scale healthcare data analysis.
Teaching experience in coding and data analysis.
Expertise in statistical programming and methodologies like time series and survival analysis.
Published scientific research in peer-reviewed literature.

Culture & Benefits

Meaningful work across career stages.
Comprehensive medical, dental, and vision insurance plans.
401K retirement plan.
Professional development and continuous learning opportunities.
Flexible work hours and paid time off.
Generous parental leave and regular team activities.