Build and lead our commercial data science function from the ground up
Present patient engagement metrics, growth trends, and study insights to clients in weekly meetings
Field questions about our solutions and respond to ad-hoc analytical requests
Build trusted relationships with biopharma stakeholders relying on your expertise
Partner closely with the Analytics Engineering Lead and contribute to broader data engineering capabilities
Proactively identify additional value through analytics and communicate with clients
Partner with the internal Engineering team to support upstream data pipeline and dbt model development
Ensure commercial data deliverables are scalable, reproducible, and aligned with the broader data platform
Drive data quality initiatives and define best practices for research-grade analytics delivery
Contribute to business development efforts by articulating our analytical capabilities to prospective clients

Requirements

5-8 years of experience in data science or analytics, with at least 2 years in a client-facing or consulting capacity
Strong working knowledge of cloud data warehouse platforms (e.g. Snowflake, BigQuery, Redshift), with deep proficiency in SQL
Proficiency in Python for data analysis, statistical modeling, and automation
Strong command of data visualization tools (e.g. Metabase, Looker) and ability to design and implement dashboards for non-technical audiences
Experience building analytics solutions from scratch—data models, pipelines, reporting frameworks, and dashboards
Proven track record of translating ambiguous business questions into concrete analytical approaches and deliverables
Exceptional ability to present complex analytical insights to diverse audiences, from software engineers to C-suite biopharma executives
Demonstrated success building trusted relationships with external stakeholders through consistent, high-quality delivery
Comfortable managing competing priorities from multiple clients while maintaining quality and responsiveness
Strong individual contributor who can design and build solutions independently
Familiarity with advanced analytics techniques including statistical modeling, machine learning fundamentals, and predictive analytics
Ability to evaluate data quality, identify issues, and implement monitoring systems
Experience working with healthcare data (EHR, claims, registry data) is a strong plus but not required

Benefits

Competitive equity package
Medical, dental, and vision coverage
401(k)
Flexible time off
Wellness stipend
Up to 12 weeks of parental leave

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data scienceanalyticsSQLPythondata visualizationstatistical modelingmachine learningpredictive analyticsdata modelingdata pipelines

Soft Skills

client-facingrelationship buildingcommunicationpresentation skillsproblem-solvingindependent contributortime managementresponsivenessadaptabilitybusiness development