Novellia

Design, build, and maintain scalable data pipelines and analytics platforms to support research and commercial needs. | Over 5 years of experience in data engineering or analytics, proficiency in SQL and modern data warehouse platforms, and experience with cloud platforms and data modeling tools. | About Novellia Novellia is the first and only company that lets anyone in the US gain access to nearly a decade of their health data in under 30 seconds, 100% free. All your health records, across doctors, in one place, always up to date. We are the only patient-powered real-world data platform delivering comprehensive, patient-authorized longitudinal health insights to accelerate biopharma innovation. Unlike traditional RWD providers who offer fragmented institutional data, we empower patients to access 15+ years of their health records for free, then transform these complete health journeys into fit-for-purpose datasets for evidence generation, regulatory submissions, and market access. We’re growing 5x YoY with top pharma partners. Our data have been published with leading scientific organizations such as ASCO and SABCS/AACR, and we are backed by tier-1 investors including Spark Capital, Khosla Ventures, Bling Capital, and more. About the Role We are seeking an experienced Analytics Engineer to own and scale Novellia's analytics engineering function. Title — whether Senior, Lead, or Staff — will reflect the right candidate's experience and scope. This role is deeply technical. You will architect, build, and maintain the data models, pipelines, and infrastructure that power our research, product, and commercial work. You will report directly to the CTO and have end-to-end ownership of analytics engineering. At the same time, this is not a siloed role. You will work closely with Engineering, Data Science, and our Commercial team (Sales, Client Solutions, Marketing) to ensure our data is clean, reliable, research-ready, and aligned with customer needs. You should also be comfortable engaging directly with clients when needed - whether that’s providing technical context alongside our Commercial team, or answering pointed questions from our biopharma partners. This role will also partner closely with the Senior Data Analytics Engineer, Commercial Team, who owns client-facing analytics and insight delivery — ensuring that the data infrastructure you build directly powers the work our partners rely on. We are a fast-growing Series A company. That means ambiguity, changing priorities, and high standards. The right person thrives in that environment — bringing rigor, initiative, and a calm, collaborative approach to solving complex problems. What Success Looks Like (First 6–12 Months) Develop a deep understanding of our data infrastructure and identify opportunities for improvement Ensure models and pipelines are well-documented, reproducible, and built for scale Establish clear standards and processes that make it easy for others to build on your work Build strong working relationships with cross-functional stakeholders and become a trusted technical partner Contribute to a culture of technical excellence and collaborative problem-solving Responsibilities Design, implement, and manage scalable data pipelines and analytics platforms. Build and maintain dbt models to support customer projects and internal decision making. Work with internal stakeholders to ensure data products are research-ready and aligned with customer needs Implement and manage data instrumentation and product analytics tooling (e.g. Mixpanel) to ensure accurate tracking and reporting Identify opportunities for optimizing data workflows and proactively address technical debt. Partner with Engineering, Data Science, and Commercial teams to translate business and client needs into reliable, scalable data solutions Requirements 5+ years of experience in data engineering or analytics roles in a startup or high growth environment. Proficiency in SQL and experience with dbt for data modeling and transformations. Strong experience with modern data warehouse platforms (Snowflake, BigQuery, Redshift) Strong understanding of data architecture, ETL processes, and pipeline management. Proven ability to manage and own data products end-to-end, ideally from scratch. Experience with cloud platforms (AWS, GCP, etc.) for data storage and processing. Familiarity with product analytics tooling (e.g. Mixpanel) and modern BI tools (e.g. Looker, Tableau, Metabase) Clear communicator who can translate complex technical concepts for non-technical stakeholders Proven ability to operate effectively in ambiguous, fast-moving environments Builds well-documented, maintainable systems with a focus on long-term scalability Leverages AI tooling to improve system design, accelerate documentation, and automate repetitive workflows Bonus Skills Experience with natural language processing (NLP) techniques and tools for analyzing unstructured text data. Knowledge of distributed computing frameworks (e.g., Spark, Hadoop) and big data processing technologies. Familiarity with time-series data analysis and forecasting techniques. Contributions to open-source projects or active participation in the developer community. Familiarity with healthcare data formats like FHIR and CCDA. Who You Are Deeply technical and proud of your craft High ownership: you don’t wait to be told what’s broken Creative under constraints Direct and low-ego in collaboration Comfortable giving and receiving feedback Energized by building systems that scale beyond yourself Benefits & Perks Competitive equity package Medical, dental, and vision coverage 401(k) Flexible time off Wellness stipend Up to 12 weeks of parental leave Don’t meet every requirement? Studies show women and people of color are less likely to apply unless they meet 100% of qualifications. At Novellia, we’re committed to building a diverse, inclusive workplace. If you’re excited about this role but don’t meet every requirement, we encourage you to apply. U.S. Applicants Only.

Develop backend services and processing pipelines that efficiently handle large volumes of healthcare data. Collaborate with various teams to deliver seamless, data-rich user experiences and implement observability for services and data pipelines. | Candidates should have a bachelor's degree in a relevant field and at least 5 years of experience in backend development. Strong proficiency in modern programming languages and cloud platforms is essential, along with a solid understanding of system design and backend observability. | Backend Engineer Novellia is the first and only company that lets anyone in the US gain access to nearly a decade of their health data in under 30 seconds, 100% free. All your health records, across doctors, all in one place, always up to date. We work with the world's top researchers to safely turn health insights into life-changing action for millions of people across the world. We are seeking talented and experienced Backend Engineers to join our dynamic team. The ideal candidate will have expertise in building scalable distributed systems, with strong experience in modern backend technologies and cloud platforms. As a crucial member of our engineering team, you will play a key role in developing robust backend services and AI-powered features that process and analyze healthcare data at scale. Responsibilities: Develop backend services and processing pipelines that handle large volumes of healthcare data efficiently Integrate and optimize AI components, including Large Language Models (LLMs), to power intelligent features and insights Collaborate with frontend, data, and AI teams to deliver seamless, data-rich user experiences Take ownership of end-to-end feature development, from conception to deployment and maintenance Implement observability for services and data pipelines to enable effective diagnostics and surface performance insights through monitoring, logging, alerting, and autoscaling Implement best practices for coding, testing, and deployment to ensure high-quality deliverables Work closely with product owners and designers to translate requirements into technical specifications Stay up to date with backend best practices, emerging AI tools, and trends in healthcare interoperability and AI Requirements: Bachelor's degree in Computer Science, Engineering, Math or equivalent 5+ years of experience in backend development, with experience building scalable, distributed systems Strong proficiency in one or more modern programming languages (e.g., Python, Node.js, Java) Solid understanding of RESTful API design and microservices architectures Experience with cloud platforms (AWS, GCP, or Azure) Strong experience in system design, backend services, data processing, and analytics Solid understanding of backend observability (monitoring, logging, alerting, autoscaling) Hands-on experience with relational databases A history of delivery on high impact organizational projects Minimum of 2 years in a startup environment Strong debugging, problem-solving, and communication skills Passion for product development and a willingness to take initiative and ownership of projects Commitment to following best practices and standards for software development Wants to be part of building an engineering team from the ground up Preferred Skills: Experience with message queues, data streaming platforms, and vector databases Experience using LLMs to build real-world applications, leveraging tools like LangChain, LlamaIndex, and prompt engineering techniques Experience with RAG systems and AI-driven similarity search Familiarity with FHIR and healthcare interoperability standards Passion for creating robust, scalable, AI-driven systems that impact healthcare Benefits and perks: Equity in Novellia Medical, dental, and vision coverage 401k Flexible Time off Wellness stipend Up to 12 weeks of parental leave Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Novellia, we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. U.S. Applicants Only