Top Tech Jobs & Startup Jobs

Build and maintain automated UI, API, database, performance, and compliance tests using Java and Python. Integrate regression suites with CI/CD, analyze failures, validate deployments, support regulated-system traceability, and provide release quality recommendations. The role includes HIPAA, SOX, HL7, and FHIR testing, risk assessments, AI-assisted testing, and mentoring junior QA engineers.

Develop accurate, scalable data visualizations, dashboards, data models, and documentation using clinical and enriched healthcare data. Perform custom analyses for account managers and clinical partners, support data investigations, and collaborate with product, engineering, clinical, and account teams. Ensure data product quality and timeliness while building solutions with SQL, relational data, Looker, and business intelligence tools.

Own end-to-end assay launch readiness, coordinating operations, R&D, regulatory, engineering, pathology, bioinformatics, and reporting teams. Translate technical and scientific requirements into product plans, prioritize backlogs, support UAT, manage risks and dependencies, maintain launch documentation, and improve assay infrastructure and workflows. The role focuses on scalable operational tooling, cross-functional execution, and optimization of genomic product launches.

Own the roadmap for Tempus products, collaborate with scientists, engineers, designers, and operations teams, and deliver scalable software releases. Use product analytics to guide roadmap decisions, manage stakeholder expectations, test release candidates, lead production change management, and maintain close communication with users. The role requires translating effectively across biology, medicine, engineering, operations, and data science teams while developing expertise in genomics and oncology.

Manage oncology account engagement lifecycles by analyzing health metrics, identifying workflow bottlenecks, developing solutions with healthcare customers, leading business reviews and training, creating account collateral, and tracking adoption and outcomes. The role involves collaboration with physicians, care teams, pathologists, sales, and internal field teams, plus quarterly client site visits and internal company on-sites.

Owns RPM growth engineering, shipping enrollment, outreach, engagement, and provider features from concept to production. Shapes scalable architecture, contributes to the Aria AI coach, manages bugs and vulnerabilities, and investigates complex patient support issues. Requires strong full-stack TypeScript skills, product judgment, technical leadership, startup experience, and comfort working across frontend, backend, data, AI, and regulated healthcare systems.

Own and improve the remote patient monitoring platform, including outreach automation, data synchronization, reporting, EHR integrations, monitoring, and clinic support. Lead integrations for larger clients, identify and ship growth opportunities, and maintain reliable production systems. The role requires strong TypeScript skills, AI-assisted development, integration experience, operational ownership, and clear communication with clinicians and support teams.

Develop and qualify biotechnology and pharmaceutical leads, create strategic account plans, conduct consultative outreach, and generate sales opportunities for Tempus data, testing, and patient recruitment solutions. The role manages prospect pipelines, stakeholder mapping, executive-level selling, confidential agreements, sales activity in Salesforce, cross-functional coordination, and monthly sales goals while working remotely.

The Data Scientist II will lead and execute health economic outcomes research projects, collaborate with stakeholders, and build analytical infrastructure while adhering to regulations.

Designs, builds, and scales software systems, data pipelines, and event-driven services for patient-data de-identification. The role delivers robust cross-stack features, improves architecture and engineering quality, resolves technical dependencies, and collaborates across teams. Responsibilities include project ownership, technical design, code reviews, testing, documentation, mentoring, coaching, and supporting scalable research-ready datasets for precision medicine.