Job Description

Join a team of engineers and scientists building the cloud infrastructure that transforms modern biotech R&D. Their platform enables researchers to store, analyze, and collaborate on complex biological data seamlessly, bridging wet‑lab discovery with computational insight to accelerate breakthroughs in drug development, genomics, and synthetic biology. The team is seeking a Bioinformatics Engineer to collaborate directly with customers, migrate and scale their computational workflows, and design robust, reproducible systems that advance the future of data‑driven biology. You’ll thrive here if you’re a scientifically fluent engineer who bridges experimentation and computation; someone who works independently, communicates clearly, and takes ownership from concept to delivery. Key Responsibilities Partner with scientists to understand experimental goals and translate them into scalable, cloud‑based workflows. Build and maintain reproducible bioinformatics pipelines using Nextflow , Snakemake , or similar frameworks. Analyze and visualize complex datasets in Python and R , turning results into actionable insights. Diagnose and resolve workflow, data, and infrastructure issues to ensure reliable performance. Collaborate with product and engineering teams to improve platform capabilities and streamline bioinformatics tooling. Rapidly learn and integrate emerging techniques such as spatial ATAC-seq or single‑nucleus RNA‑seq . Approach problems critically; understanding the biological questions, experimental design, and tradeoffs between methods. Qualifications Strong foundation in statistics , linear algebra , and algorithmic reasoning with an understanding of bioinformatics methods. Proven experience building and maintaining sequencing or multi‑omics data pipelines. Proficiency in Python , R , and workflow orchestration tools such as Nextflow and Snakemake . Familiarity with machine learning or LLM‑based approaches for biological analysis is a plus. Solid grasp of software engineering practices including testing, documentation, and version control. Excellent communicator with the ability to interface across scientific and engineering teams. Curious, adaptable, and eager to learn new computational and biological domains. If all this sounds like you, I'd love to introduce you to the team directly. Seniority level: Mid‑Senior level Employment type: Full‑time Job function: Engineering and Science Referrals increase your chances of interviewing at Metric Bio by 2x #J-18808-Ljbffr Metric Bio

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