Jobs at H1

Lead architecture and implementation of scalable backend services and distributed data platforms for large healthcare datasets. Drive technical roadmap, build high-throughput processing systems and APIs, collaborate with product and ML teams, mentor engineers, and own production deployments and reliability for mission-critical data capabilities.

Lead day-to-day product delivery for PDE by embedding with engineering and product teams, running Scrum of Scrums, tracking dependencies, configuring and owning Jira, establishing sprint cadences and delivery artifacts, coaching teams on scrum best practices, and driving cross-team coordination to ensure P0 initiatives ship on time.

As a Staff Data Engineer, lead significant data projects, ensuring scalable architectures and optimized data pipelines, while mentoring others and collaborating cross-functionally.

Own enterprise client implementations from intake to sign-off: gather and document requirements, coordinate engineering/design/data delivery, run client relationships, manage scope and timelines, validate front-end and data deliverables, track projects in Jira/Linear, and improve implementation repeatability with a path toward product ownership.

As a Staff Data Engineer on the Data Lake team, you will architect, build, and scale distributed ETL pipelines, ensuring data quality and leading the engineering team. You will also drive large-scale data processing and technical initiative leadership.

Lead end-to-end evaluation, scoping, and onboarding of new healthcare data sources. Define field mappings, acceptance criteria, ingestion and entity-resolution rules, perform QA and anomaly detection, translate client requirements into integration specs, and produce maintainable documentation before handing off to maintenance teams.

Lead enterprise implementations for healthcare and life sciences customers, translating business requirements into scalable platform solutions, managing integrations (APIs, AWS/S3, Snowflake, Databricks, SFTP/FTPS), configuring Salesforce, troubleshooting production issues, validating data quality, running client workshops, and coordinating cross-functional teams to deliver timely, enterprise-grade SaaS deployments and post-launch support.

Lead and scale an enterprise pharma sales organization to drive new logo acquisition, renewals, and expansion. Recruit and develop AEs and AMs, build repeatable sales and renewal processes, partner with Marketing, Customer Success, Product, and RevOps, provide executive deal support, and represent the company externally to grow revenue and retention across life sciences accounts.