Boston, MA
AI-powered pathology for biopharma and diagnostics
PathAI builds AI models and digital pathology platforms to analyze tissue samples, improving diagnostic accuracy for diseases like cancer. They serve biopharma companies for drug development, clinical trials, and pathology labs for workflow optimization. This accelerates therapies to patients and enhances precision medicine.
Leads technical SaaS implementations for Digital Diagnostics customers, coordinating customer IT, internal development, schedules, risks, and escalations. Requires 3+ years of client-facing implementation experience, strong analytical and customer-management skills, and familiarity with HL7 or laboratory information systems preferred.
This senior/staff SRE will design, operate, and secure data center infrastructure for machine learning workloads while integrating it with cloud systems. The role requires 8+ years of experience, production hardware and network expertise, automation and observability skills, and familiarity with hybrid infrastructure operations.
This co-op builds and improves software across application, low-level systems, and user-interface layers while collaborating with product, design, machine learning, and infrastructure teams. Candidates should be pursuing a Computer Science-related bachelor's or master's degree and have prior work experience.
Build and evolve Python-based fullstack applications for a clinical-trial SaaS platform, collaborating across product, design, ML, infrastructure, clinical, and regulatory teams. Requires a computer science degree or equivalent, 0–2 years of Python development, and familiarity with FastAPI or Django and AWS.
Build and architect fullstack features for a clinical-trial SaaS platform, working across Python backends, modern JavaScript interfaces, cloud infrastructure, and regulated software workflows. Requires a bachelor's degree or equivalent and at least five years of full life cycle development experience.
Develops and deploys machine learning models for biomedical research and product applications, collaborating with scientific, engineering, and product teams. The role spans independent delivery through technical leadership and requires Python, ML frameworks, deployment pipelines, and relevant graduate-level experience.
Software Engineering Co-op focused on MLOps at PathAI. Build features, collaborate with ML and infrastructure teams, uphold engineering standards. Requires prior work experience, CS degree in progress (50%+ completed), and strong learning ability.
Develop and evaluate ML models and pipelines for AI products in healthcare, collaborating with MLOps teams on subprojects. Requires pursuing MS/PhD in CS/EE/BME with ML/CV focus, strong Python, and PyTorch/TensorFlow experience.