Principal Engineer, Genomics Infrastructure

Broad Institute; Cambridge (MA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

The Broad Institute in Cambridge, MA is seeking an experienced computational leader to steer the lab's cloud and containerized workflows for viral discovery and virome analysis. You will shape architecture, evaluate tools, and drive scalable deployment on Terra/Manifold, while guiding cost-aware cloud strategies and collaborating with NIH/HVP partners.

You will mentor junior staff, define best practices in bioinformatics, and contribute to a cutting-edge genomics program at the Broad.

Qualifications

• Education: MSc or PhD in Computer Science, Artificial Intelligence (AI), Bioinformatics, Computational Biology, or related field, or equivalent industry experience.
• Experience: 10+ years with bachelor's degree, 8+ years with MSc, 5+ years with PhD
• Track record of leading or maintaining open-source bioinformatics software.
• Strong programming in Python and Bash; experience with ML workflows and GPUs is desirable.

Responsibilities

• Manage the architecture and long-term technical roadmap for scalable containerized workflows on Terra/Manifold for viral discovery, classification, assembly, and characterization, and lead their design, implementation, and optimization.
• Evaluate new and emerging bioinformatic tools for virome analysis and identification, decide which to adopt, and lead their integration into the group's codebase.
• Assist in defining the lab's deployment strategy for scalability and cost-efficiency on cloud infrastructure, forecasting compute and cost needs across projects.
• Serve as the lab's technical representative to the HVP consortium and external collaborators; communicate regularly with the project teams to meet deadlines and adapt workflows to emerging research needs.
• Supervise and mentor junior computational trainees and employees who are performing research, creating methods, or utilizing our tools, and identify the skills the team needs to develop.
• Serve as a subject-matter expert on evolving best practices in bioinformatics, genomics, compute infrastructure, and AI in science and engineering, and as a resource to collaborators and other Broad groups adopting them.

Skills

Ambiguity handling

Cross-functional collaboration

Open-source leadership

Education

MSc/PhD in CS/AI/Bioinformatics/Computational Biology

Tools

Docker

CI/CD pipelines

Terra

Nextflow

WDL

Cromwell

GPU/CUDA

Git

Job description

The Broad Institute in Cambridge, MA is seeking an experienced computational leader to steer the lab's cloud and containerized workflows for viral discovery and virome analysis. You will shape architecture, evaluate tools, and drive scalable deployment on Terra/Manifold, while guiding cost-aware cloud strategies and collaborating with NIH/HVP partners.

You will mentor junior staff, define best practices in bioinformatics, and contribute to a cutting-edge genomics program at the Broad.