Our North America (Sales Team) are responsible for our commercial activity - Finding new partners who want to join in our mission to democratise data-driven medicine.
SOPHiA GENETICS
Teams at SOPHiA GENETICS
SOPHiA GENETICS Sales Team in North America
SOPHiA GENETICS Leadership Team
We value diversity of background and mindset just as highly as experience and technical knowledge. Our executive team, board, and scientific personnel are a diverse mix of ages, genders, backgrounds, and ethnicities, with more than 80% holding PhDs with specialties from cell biology to computer science. It’s this diversity and originality, powered by a shared passion for delivering innovative healthcare solutions for all, that truly makes the SOPHiA GENETICS team unique.
Recently posted jobs
Artificial Intelligence • Big Data • Healthtech • Software • Biotech
Leads global revenue accounting, including IFRS 15 policy governance, monthly close, journal entries, reconciliations, variance analysis, technical accounting guidance, SOX controls, SEC filings, consolidation support, and external auditor relationships. Serves as the enterprise subject matter expert for complex revenue recognition matters while partnering cross-functionally with international teams and managing accounting improvement projects.
Artificial Intelligence • Big Data • Healthtech • Software • Biotech
Six-month intern contributing to an AI proof of concept that uses LLMs to extract structured clinical information from synthetic medical reports. Responsibilities include generating synthetic PDFs, testing prompting and fine-tuning approaches, evaluating model accuracy, reliability, speed, and cost, organizing extracted data into databases, developing processing workflows, documenting findings, and communicating recommendations to technical and clinical stakeholders.
Artificial Intelligence • Big Data • Healthtech • Software • Biotech
Own and improve Excel financial models, revenue reporting, KPIs, and Power BI dashboards. Gather and validate data from business systems, support budgeting, forecasting, and long-range planning, and analyze actual results against plan. Present revenue performance insights to finance leadership and executives, partner cross-functionally on ad hoc analysis, improve reporting processes, and contribute to automation and AI initiatives.
