Top Remote Biotech Jobs

The Staff Machine Learning Engineer will architect and optimize data infrastructure for multimodal AI models in oncology, focusing on data management and processing pipelines.

Drive territory sales for migraine therapies by engaging healthcare providers in person and virtually, executing territory call plans, leveraging analytics and digital tools, and collaborating cross-functionally to meet Pfizer business objectives compliantly.

The Payer Engagement Account Director will drive payer opportunities, build relationships with payers, lead meetings, and collaborate cross-functionally to advance access to the company's cancer detection technology.

Drive new business within 1-3 top global accounts by generating pipeline, managing complex 7+ figure sales cycles, forecasting accurately, negotiating and closing deals, aligning Benchling solutions across multiple personas, and collaborating with internal and external partners to ensure customer success.

Design and develop cloud infrastructure and AI systems for a biopharma platform. Lead development efforts, ensuring scalability, security, and collaboration across teams.

Lead cybersecurity requirements for the Digital Health Application (DiGA), including regulatory compliance and vulnerability management tasks.

The Chief Operating Officer will lead operational execution and manage delivery teams, drive company-wide operating rhythms, and partner closely with the CEO and leadership team to scale the organization and enhance operational effectiveness.

The Senior Field Application Specialist trains customers on SOPHiA GENETICS solutions, supports customer needs, and collaborates with teams to gather feedback for ongoing product improvements. This role involves significant travel to client sites for trainings and hands-on support.

Lead development and execution of global QMS strategy for digital health (SaMD, AI/ML, cloud, automation). Embed regulatory and quality requirements across product lifecycle, establish governance, manage risk-based software lifecycle and post-market surveillance, and advise stakeholders on emerging digital regulatory expectations.

As a Senior Data Scientist, you will develop statistical models and machine learning algorithms to improve patient enrollment and trial management while ensuring compliance in a healthcare data environment.