Bioinformatics Manager

Job Description This is a remote position. We’re a tight-knit crew of builders—spanning science, engineering, design, and product—working on problems where biology meets modern software. Think large-scale genomic data, cloud-native systems, and products that actually get used. The work is complex, the bar is high, and the team is genuinely sharp. The Opportunity We’re hiring someone to take ownership of our bioinformatics function—not just technically, but as a leader of people and direction. This role is less about writing pipelines day-to-day and more about shaping a team that already has strong technical chops into something even more impactful. You’ll be stepping into a group of experienced individuals and helping them level up: clearer direction, better processes, stronger alignment with the rest of the company. If you care about building teams as much as building systems, this is that kind of role. What You’ll Own Guide and mentor a senior team, with real investment in their growth, performance, and long-term trajectory. Define where bioinformatics is going and how it supports broader product and scientific goals. Partner closely with product and engineering leaders to ensure the work being done actually moves the needle. Represent the function at the leadership level—clearly communicating priorities, tradeoffs, and where investment is needed. Bring structure to how projects are planned, executed, and tracked so things scale without chaos. Work cross-functionally to translate biological insight into usable, production-grade tools. Play a key role in hiring and shaping the team as it grows. Keep the team aligned with evolving tools, standards, and best practices in the genomics space. Requirements What You Bring Experience leading technical teams, including the real-world parts: feedback, performance management, and navigating team dynamics. Ability to explain complex bioinformatics concepts to both technical and non-technical stakeholders without losing clarity. Strong grounding in genomics and data analysis, with enough depth to challenge ideas and guide direction. Familiarity with common genomics data formats (e.g., sequencing reads and variants) and the tooling ecosystem around them. Comfort working with scripting or programming languages (Python, R, or similar) to review work and support technical decisions. Exposure to cloud or high-performance computing environments, especially in the context of reproducible pipelines. A strategic lens—you can prioritize, scope, and connect technical work to real outcomes. Several years of hands-on bioinformatics experience, particularly with next-generation sequencing workflows at scale. Advanced academic training in a relevant field, or equivalent practical experience. Bonus Points Time spent in startup or high-growth environments. Experience exploring and visualizing large-scale biological datasets. Familiarity with public genomics resources and integrating diverse data sources. Awareness of modern data standards and interoperability practices in genomics. Why This Is Interesting Your work won’t sit on a shelf—what you build feeds directly into tools used across large research and clinical ecosystems. You’ll shape a function that’s core to the company, not a support layer. You’ll collaborate with people who actually ship—across science, product, and engineering. The problems matter: rare disease, cancer, infectious disease—this is applied, not theoretical. The environment is flexible, remote-friendly, and built for people who like autonomy paired with high expectations. Logistics Remote-first, with optional in-person time if you’re near a major Canadian hub. Must be authorized to work in Canada.