Clinical Solutions Engineer

Who We AreWe're a team of engineers, data scientists, clinical research professionals, and clinicians who believe every patient deserves access to the best possible treatment options, no matter who they are, where they live, or where they receive their care.We help large health systems become better at research. Our AI-powered platform makes sense of complex clinical trial criteria and every patient's medical record. It puts that intelligence in the hands of principal investigators, research staff, and care teams, so they can identify eligible patients faster and bring research directly to where patients already are.That same intelligence layer supports research administrators and leaders managing studies across sites. The result: PIs run more efficient, higher-enrolling studies. Research administrators gain visibility and control across a growing, distributed portfolio. Clinicians and caregivers receive transparent, timely insights to guide treatment decisions. And more patients, regardless of zip code, gain access to the trial that might be right for them.We're breaking down the barriers between patients and the research that could change their care.About the RoleThe Clinical Solutions Engineer role is a full-time, remote position with company headquarters in San Mateo, CA. This is a hands-on role at the intersection of clinical research operations, software engineering, and customer success. You will help health-system research teams successfully deploy, adopt, and expand Lind’s clinical trial platform—from initial workflow discovery and onboarding through go-live and ongoing use.You will work directly with principal investigators, clinical research coordinators, clinical trials office leadership, and health-system IT and data teams. You will translate real clinical workflows into clear product and technical requirements, configure deployments, develop training materials, run demonstrations and office hours, and help customers incorporate Lind into their daily research operations.When something is not working as expected, you will be the first technical and clinical investigator. You will reproduce problems, inspect application behavior, query data, trace APIs and data flows, and use modern coding tools and agents to diagnose issues, build internal tools, and implement or prototype appropriately scoped fixes. When a problem requires changes from product or core engineering, you will turn it into a precise, evidence-backed escalation with the affected workflow, expected behavior, technical findings, and customer impact already established.You will also coordinate implementation workstreams across customer, product, clinical, integration, and engineering teams; maintain operating cadences with research leadership; surface risks and dependencies; and turn recurring customer needs into scalable product improvements, documentation, and playbooks.This role is ideal for someone who began their career in oncology clinical research, developed real software-engineering ability, and now wants to combine both disciplines to improve how clinical trials reach patients.Qualifications3+ years of oncology clinical research operations experience as a Clinical Research Coordinator, Lead CRC, Clinical Research Nurse, or comparable site-level operator.Hands-on experience pre-screening patients against oncology protocol eligibility criteria and managing a portfolio of studies across the clinical trial lifecycle.Fluency with clinical research systems and workflows, including CTMS, eRegulatory, EDC, patient pre-screening, study activation, accrual, amendments, monitoring, and closeout.Experience creating training materials and onboarding or training clinical research users.At least 1 year of professional software engineering experience, with approximately 1.5+ years preferred, building, shipping, and debugging software used by others.Proficiency in Python and SQL, along with working knowledge of APIs, application logs, data pipelines, Git, testing, and modern software-development practices.Ability to investigate technical problems independently, distinguish product, data, configuration, and user-workflow failures, and communicate actionable findings to engineers.Experience managing multi-workstream projects where you owned the outcome and timeline without directly controlling every dependency.Ability to translate effectively among clinical users, research administrators, engineers, data teams, and health-system IT stakeholders.Comfortable leading live demonstrations, explaining product output and limitations, and fielding difficult questions from clinicians and research leadership.Preferred: Experience with Epic or another major EHR, FHIR, HL7, C-CDA, APIs, data warehouse extracts, or healthcare software integrations.