Software Engineers (Genomics): Architecting Computational Pipelines

What We're Researching We're hiring software engineers to discuss the architecture of scalable computational pipelines for genomic data. Building these environments from scratch requires a unique intersection of domain knowledge and engineering rigor. Your feedback will inform how robust bioinformatics infrastructure is designed and deployed. How It Works You will participate in a remote, AI-moderated interview focused on your engineering workflows. During the session, you will walk us through how you design and build scalable environments from the ground up. We will ask you to detail the specific challenges of handling bioinformatics data and the technical tradeoffs you make. The conversation will flow through your recent projects, architectural decisions, and deployment strategies. Who This Is For We welcome backend software engineers, bioinformatics scientists, genomics data engineers, and computational biologists with strong architectural experience. You should have a proven track record of building scalable data pipelines from scratch. Ideal candidates will be highly comfortable discussing both the biological domain constraints and the underlying software engineering principles. What You'll Do - Walk us through your process for architecting computational pipelines from scratch - Explain how you handle the unique scale and complexity of genomic data - Discuss the technical tradeoffs involved in building bioinformatics environments - Detail your deployment strategies and infrastructure choices Who Should Apply - Professional experience as a software engineer or computational data engineer - Deep domain expertise in genomics or bioinformatics - Hands-on background in building scalable computational environments from the ground up - Comfortable discussing technical architectural decisions Compensation $100 per hour Ready to participate? Start your paid interview now About Terac Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets. Learn more at or on YouTube at @jointerac.

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