Teams at Cultivarium

Lead cross-team execution of multidisciplinary scientific programs, act as systems integrator, align stakeholders, prioritize scientific needs, run program reviews, assess risks, manage scope/milestones/resources, and communicate progress to leadership to deliver biological research and engineering projects.

Apply population and comparative genomics to non-model organisms: build and run pipelines (variant calling, selection scans, phylogenomics), analyze organellar variation, assemble and annotate genomes and pan-genomes, integrate multi-omic data, apply machine learning where useful, collaborate with wet-lab teams, write reproducible code, present results, and mentor teammates.

Build and own full-stack AI platform systems: backend services, data pipelines, frontends, and cloud infrastructure. Integrate LLM agents with lab data, instruments, and databases; prototype and harden agentic workflows; write well-tested code; mentor teammates and drive engineering best practices in a research-focused environment.