Director Of Bioinformatics And Artificial Intelligence

CiberMed is hiring a Director of Bioinformatics & AI to lead the scientific and AI strategy for iSort, its cell type deconvolution platform. The role leads the computational team, guides product development and roadmap planning, and contributes hands-on to software and bioinformatics work.

Responsibilities:

• Take responsibility for all technical aspects of iSort, CiberMed's flagship software
• Own the scientific roadmap for iSort: method improvements, new signature matrices, new data types and indication-specific validation
• Serve as CiberMed's senior scientific voice with customers, key opinion leaders, partners and investors
• Lead external collaborations, including co-authored posters, publications and webinars
• Oversee technical support for iSort users, including results interpretation and effective data analysis
• Explore where AI can add value to iSort, starting with helping users interpret results, and make sure AI outputs are checked for accuracy before they reach customers
• Own technical documentation and Q&As for quality assurance and IT audits
• Partner with commercial to scope projects, price analysis work and support deals as technical lead
• Manage the software and bioinformatics team: define goals and timelines, monitor progress, and hire and mentor staff. Manage outside contractors or CROs where needed
• Stay hands-on: review code, write critical pieces and set engineering standards, including GitHub source-code management
• Work closely with the CEO, business development and marketing, and CiberMed's Stanford co-founders
• Own the new product development pipeline, from idea through feasibility, validation and launch
• Evaluate AI-assisted approaches to designing new signature matrices as a route to new product offerings
• Build and maintain a product roadmap that strengthens CiberMed's product portfolio beyond the core platform
• Prioritize new products with commercial leadership, using market need, technical risk and revenue potential
• Define go/no-go criteria for each stage so resources go to the strongest concepts