Trial Library is an AI-native enrollment and care navigation platform that accelerates access to precision medicine. In collaboration with biopharmaceutical manufacturers, payers, and health systems, Trial Library enables the delivery of clinical trials as a standard care option - improving patient access, advancing oncology outcomes, and reducing the total cost of care. Backed by leading healthcare venture capital firms, Trial Library’s platform is currently deployed in 840+ clinics and 3,000+ providers nationwide.
About the Role
We're hiring a Staff Data Engineer to own the pipelines that move patient data through our platform, from EMR systems to the workflows our teams use to identify eligible patients for clinical trials and help them enroll.
This is the center of a major architectural shift for us: moving from narrow, human-assisted data pulls to robust, automated integrations that ingest complete patient records. The clean, complete, and trustworthy data you’ll manage powers our AI-assisted patient-trial matching. If healthcare data at HIPAA-grade stakes, messy real-world inputs, and pipelines that genuinely change patient outcomes sound like the right problem space, please keep reading.
Our engineering culture values direct communication, strong ownership, and low-ego collaboration. We laugh a lot and use a ton of Slack emojis. We make decisions quickly, give open feedback, and have a strong bias toward action.
How We Build with AI
AI is deeply embedded in how we work, in our product, and in our SDLC. Our embrace of it didn't come from a mandate but from our own desire as engineers to do more, safely. We use it for coding, testing, measuring, and iterating, and we treat it as a genuine competitive advantage. We're looking for someone who shares that instinct: excited to question long-standing processes and think ambitiously about what's possible when you pair strong engineering fundamentals with AI tooling. If you're already building that way, you'll fit right in.
Underneath it all is a modern platform built on AWS (Lambda, Fargate, SQS, RDS, Bedrock) with Pulumi-managed infrastructure. Our backend is primarily TypeScript, and our data layer centers on PostgreSQL and Drizzle. We care about pragmatic architecture, developer velocity, and systems that evolve as fast as our product and AI capabilities do.
Your Responsibilities
You will own the ingestion and transformation pipelines that bring patient records into our platform and shape them into data our matching systems and human experts can trust.
That means designing for reliability in compute-intensive, long-running workflows: the kind of problems where serial processing breaks under load, timeouts become production incidents, and the right architecture (async pipelines, message queues, container-based compute) separates a working feature from a failing one. You'll own data quality end-to-end: schema design, validation, transformation logic, and the monitoring that catches problems before a clinician does.
You'll partner closely with our AI engineers on the data foundations for patient-trial matching and with our product engineers on how ingested data flows into the workflows our users depend on. You'll monitor production, triage issues quickly, and exercise pragmatic judgment by matching technology to business needs.
Your Qualifications
Strong pipeline engineering: ingestion, transformation, and orchestration of data at meaningful scale, with real attention to data quality and reliability.
Deep SQL and PostgreSQL fluency, including schema design and query performance
Solid Python and comfort working in a codebase with TypeScript.
Deep AWS experience (Lambda, Fargate, SQS, RDS, and the surrounding ecosystem) and the ability to choose the right service for the right job.
Proven track record of leveraging AI coding tools creatively and effectively to build production systems.
Demonstrated ability to take autonomous ownership, identifying and resolving systemic issues independently.
Startup experience, where you have built from scratch at an early-stage company and treated ambiguity as an opportunity rather than an obstacle.
Strong systems thinking, encompassing backend architecture, APIs, databases, and scalability under real-world constraints.
Clear communication and influence, with the ability to explain trade-offs to both engineers and non-engineers to earn trust through honesty.
Healthcare alignment with a genuine interest in improving clinical trial access and health equity; HIPAA experience a strong plus.
We are looking for a data engineer with 8 or more years of experience, with at least a couple of years operating at staff scope or equivalent impact. Beyond tenure, what matters most is whether you have demonstrated the kind of high-impact ownership this role requires.
Nice to Have
Why Trial Library
- Meaningful impact — helping patients access clinical trials faster through better technology and workflows
- High ownership environment — autonomy to build, test, and influence strategy across the business
- Collaborative team culture — low ego, high trust, and close partnership across functions
- Opportunity for growth — join at an early stage with meaningful exposure to company-building and decision-making
- Ally is our favorite moniker
- The broadest reach is worth the effort
- Celebrate measurable improvements in access and outcomes
- Fearless advocates for representation in research
- Incentives matter to stakeholders choosing our products
- Taking initiative is actually giving
- We are accountable for the experience of patients and providers
- Empathy and humility are the real dynamic duo
- Health & Wellness: Comprehensive medical, dental, and vision coverage for employees and eligible dependents, along with disability, life, and supplemental insurance options designed to support your overall well-being.
- Time Off & Workplace Support: Flexible paid time off, observed company holidays, and a one-time home office stipend to help you create a productive and comfortable remote workspace within our hybrid environment.
- Financial & Lifestyle Benefits: 401(k) program, pre-tax HSA and FSA options, commuter benefits, financial wellness resources, and access to legal protection plans to support both short- and long-term planning.
- Additional Support & Voluntary Benefits: Access to voluntary benefit offerings including pet wellness support, domestic partner coverage, and additional programs that support the diverse needs of our team members and their families.
Our interview process typically includes four stages, followed by reference checks and an offer. Depending on the role, particularly for technical or senior positions, the process may vary slightly and can include a technical assessment, case study, presentation, practical exercise, additional interview conversations, or conversations with members of our leadership team and investors.
Skills Required
- 8 or more years of data engineering experience
- At least two years operating at staff scope or equivalent impact
- Experience engineering ingestion, transformation, and orchestration pipelines at meaningful scale
- Strong data quality and reliability engineering experience
- Deep SQL and PostgreSQL fluency, including schema design and query performance
- Solid Python skills and comfort working with TypeScript
- Deep AWS experience, including Lambda, Fargate, SQS, RDS, and related services
- Ability to select appropriate AWS services for different workloads
- Experience using AI coding tools to build production systems
- Demonstrated autonomous ownership and ability to resolve systemic issues independently
- Startup experience building systems from scratch in an early-stage company
- Strong systems thinking across backend architecture, APIs, databases, and scalability
- Clear communication and ability to explain technical trade-offs to technical and non-technical stakeholders
- Genuine interest in clinical-trial access and health equity
- HIPAA experience
- Familiarity with infrastructure-as-code tools such as Terraform or Pulumi
- Familiarity with clinical or healthcare data standards such as EHR, EMR, HL7, or FHIR
- Familiarity with API design patterns
- Experience working in a regulated industry
Trial Library Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Trial Library and has not been reviewed or approved by Trial Library.
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Healthcare Strength — Company materials indicate medical, dental, and vision coverage for employees. Feedback suggests core health coverage is a defined part of the package.
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Leave & Time Off Breadth — Public information indicates paid vacation and paid parental leave for full-time employees. Feedback suggests time off and family leave are explicitly included as core benefits.
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Wellbeing & Lifestyle Benefits — A remote-first setup with technology tools and a work-from-home stipend supports home office comfort and productivity. Feedback suggests remote-work support is a notable component of the offering.
Trial Library Insights
What We Do
At Trial Library, we believe health equity in cancer care begins with patient and provider empowerment. We recognize inclusive research environments can answer questions that improve health outcomes for all. We are committed to transforming the standard of care by addressing inequities in discovery and access to cancer clinical trials. Trial Library is a software and services company for accelerating equitable recruitment to clinical trials
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