Community Engagement Manager
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What will you do?
Educate the research community:
- Create content to help researchers learn how to use Velsera platforms, including written tutorials and video tutorials. Examples of platforms include, but are not limited to, the National Cancer Institute’s Cancer Genomics Cloud and the National Heart, Lung, and Blood Institute’s BioData Catalyst.
- Plan and lead training sessions and workshops for user groups ranging from 5 users to 100 users.
- Present the value of Velsera platforms to the research community at conferences, workshops, and consortia meetings.
- Create a strategy to grow our user base.
Grow the number of researchers using Velsera platforms:
- Strategically reach out to communities of interest and provide information on how our platforms can enable their research.
- Engage with users of Velsera platforms, understand their research questions, and help them successfully carry out their study on the platform.
- Deeply understand users’ needs and help incorporate their feedback into the Velsera product roadmap.
- Work independently, take ownership, and responsibility for delivery of milestones.
Requirements
What do you bring to the table?
Required:
- Excellent communications skills applicable to a wide audience that includes users, researchers, funding agencies, and internal stakeholders.
- Experience conducting genomics experiments or analyzing omics data (e.g. RNA-seq, Exome-seq, ChIPseq, proteomics, imaging analysis etc.).
- Enthusiasm for teaching others and making highly technical concepts accessible to a wide audience.
Nice to have:
- Ability to program in R and/or Python.
- Knowledge of the clinical applications of genomics in a wide range of therapeutic areas and understanding of the challenges researchers face when integrating genomics into clinical workflows.
- Experience with large-scale -omics data processing on the cloud and/or high-performance computing.
Education and experience:
- A PhD or MS in genomics, bioinformatics, molecular biology, engineering, or related discipline is required.
- Experience running workshops, user groups, or other large user-engagement events is preferred.
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Velsera
View Company ProfileVelsera is a premier, enterprise-grade HealthTech powerhouse engineered to orchestrate massive-scale precision medicine and multi-omic data ecosystems. Operating as a unified "discovery-to-diagnostics" hub, the company eliminates the operational friction of traditional, legacy genomics models—which frequently suffer from siloed datasets, fragmented clinical-reporting workflows, and slow research-to-bedside translation—by seamlessly deploying advanced "Clinical Genomics Workspace" (CGW) telemetry, rigorous multi-cloud bioinformatics architectures (Seven Bridges), and cohesive PCR/lab-automation frameworks (FastFinder). Moving beyond rigid legacy software paradigms, Velsera empowers global life sciences companies, clinical diagnostic laboratories, and biopharmaceutical organizations to dynamically synchronize their genetic testing, drug discovery, and clinical reporting pipelines with elite, scalable, and audit-ready execution. Under the hood, their sophisticated proprietary operational infrastructure—formed through the strategic merger of Pierian, Seven Bridges, and UgenTec—natively manages complex global multi-omic data ingestion, instantaneous AI-enhanced variant interpretation, and automated regulatory-compliance workflows, providing the necessary operational foundation to support the modern, data-driven personalized medicine economy. What sets Velsera apart is its uncompromising dedication to frictionless scientific-orchestration; by bridging the gap between highly technical, performance-intensive omics-analysis demands and accessible, high-velocity enterprise-health interfaces, the firm empowers modern medical organizations to radically accelerate their breakthrough-velocity, eliminate systemic clinical-bottlenecks, and build an unassailable foundation for continuous commercial and institutional dominance in the modern, AI-transformed global-healthcare landscape.
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