Novellia · 1 month ago
Senior Data Scientist, Commercial Team
Novellia is a pioneering healthcare data company that provides free access to comprehensive health records. The Senior Data Scientist will build and lead the commercial data science function, focusing on client-facing analytics and developing internal solutions to enhance service delivery.
Artificial Intelligence (AI)Health CareMedicalSoftware
Responsibilities
Join weekly client meetings with biopharma partners to present patient recruitment metrics, enrollment trends, data quality insights, and study progress
Serve as the primary analytics point of contact for client inquiries, responding to questions about our data, methodologies, and analytical capabilities
Build meaningful relationships with biopharma stakeholders including medical affairs, clinical operations, and real-world evidence teams
Translate complex analytical findings into clear, actionable insights tailored to biopharma decision-makers
Proactively identify opportunities to deliver additional value through analytics and communicate these to clients
Design and build internal analytics solutions that improve how we serve clients—dashboards, reporting frameworks, and data quality monitoring systems
Partner closely with the solutions management team to translate client needs into product requirements and technical specifications
Collaborate with the data and engineering teams to develop scalable data pipelines and transforms that power both client deliverables and internal operations
Create and maintain the analytics infrastructure that will become the foundation of Novellia's commercial offerings
Drive data quality initiatives to ensure accuracy and reliability across all client-facing analytics
Define best practices for research-grade analytics delivery in the real-world evidence space
Contribute to business development efforts by articulating our analytical capabilities to prospective clients
Identify patterns across client engagements that inform product development and company strategy
Qualification
Required
5-8 years of experience in data science or analytics, with at least 3 years in a client-facing or consulting capacity
Deep proficiency with data analytics tools: SQL, Python, Snowflake, BigQuery, Redshift
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
Self-directed and resourceful—you identify problems and solve them without waiting for direction
Comfortable with ambiguity and rapid change in a growing company environment
Proven ability to manage competing priorities in fast-paced environments
Experience using AI tools (ChatGPT, Claude, Copilot, Cursor, etc.) to enhance productivity and accelerate delivery
Preferred
Experience working with healthcare data (EHR, claims, registry data) is a strong plus but not required