Teams at SOPHiA GENETICS

Team
SOPHiA GENETICS Sales Team in North America

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.

Team
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.

23 Hours AgoSaved
Hybrid
Rolle, Vaud, CHE
Artificial Intelligence • Big Data • Healthtech • Software • Biotech
Perform picking, packing and filling to prepare production bundles; launch production orders (MTS/MTO); follow GxP medical device production standards and line clearance; manage warehouse shipments, stock inspection, receipts recording in ERP/WMS; maintain cleanliness and safety. Support production capacity improvements and follow established procedures to ensure quality.
23 Hours AgoSaved
Remote or Hybrid
4 Locations
Artificial Intelligence • Big Data • Healthtech • Software • Biotech
Own sales growth across a Midwest territory by prospecting, developing business, managing pipelines, closing new opportunities, and partnering with Customer Success on onboarding. The role requires consultative selling experience, knowledge of NGS or genomics products sold to hospitals and laboratories or enterprise software sales, strong new-business development skills, and willingness to travel at least 50%.
3 Days AgoSaved
Hybrid
Boston, MA, USA
Artificial Intelligence • Big Data • Healthtech • Software • Biotech
Design, develop, and optimize scalable backend services, APIs, middleware, and core platform components. Build hospital-system integrations, improve performance for high-volume medical data, maintain monitoring and observability, and automate deployment pipelines and infrastructure. Support live customer integrations, implement enhancements, and contribute to system architecture, reliability, and cost efficiency across cloud-native, containerized environments.