Novellia-posted 9 days ago
Full-time • Mid Level
New York, NY
1-10 employees

We are looking for a Data Scientist to build and lead our commercial data science function from the ground up. This is a unique opportunity to define how a healthcare data company delivers world-class data and analytics solutions to biopharma clients while simultaneously building the internal data solutions that power our operations. This role is first and foremost, client-facing. You will be the analytics voice to our clients, joining weekly meetings to present patient recruitment metrics, growth trends, and study insights. You'll field questions about our solutions, respond to ad-hoc analytical requests, and build trusted relationships with biopharma stakeholders who rely on your expertise to make critical decisions. Beyond client delivery, you'll have the opportunity to build industry-defining data solutions working hand-in-hand with our solutions management and engineering teams. You'll design the analytics infrastructure that doesn't yet exist and create the frameworks that will scale with us. You will report directly to the Chief Customer Officer and be accountable for all client-facing metrics, analytics deliverables, and the strategic evolution of our commercial data science capabilities.

  • 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
  • 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
  • Experience working with healthcare data (EHR, claims, registry data) is a strong plus but not required
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