Bioinformatics Infrastructure Engineer

Kriya is a next generation gene therapy company focused on expanding the field to new frontiers. We have built a fully integrated, technology enabled platform for rational vector design, analytical characterization, and scalable manufacturing to design and develop gene therapies for diseases with well-understood underlying biology. We believe that rationally engineered gene therapies can transform the treatment of a broad universe of diseases – and we are prepared to lead this revolution in medicine.

Our team is made up of leading scientific experts who are passionate about improving patients’ lives and easing the burden of these life-changing disorders for patients. We are looking for teammates with the ambition, creativity, and energy to help us build a unique organization.

If you are looking to be a part of a company with an entrepreneurial culture, a bold vision, and a meaningful purpose, Kriya is the company for you.

Job Summary

We are seeking a bioinformatics infrastructure engineer to contribute to the development of a data-driven computational research platform for our burgeoning Kriya Technologies group. The ideal candidate will have significant engineering experience, ideally within a fast-paced collaborative research setting, and hands-on experience with the analysis of large-scale functional genomic datasets and pipeline development for computational biology. They will enjoy a balance of responsibilities across both software engineering and scientific data analysis, and will work collaboratively with machine learning scientists, computational biologists, and laboratory scientists on a range of exciting scientific problems. This is a unique opportunity to gain broad experience in a startup environment and to make a meaningful impact on patient outcomes.

Tasks & Responsibilities

• Contribute to the development of a cloud-native, data-driven computational research platform.
• Contribute to data engineering efforts to organize and analyze diverse datasets across the complete gene-therapy development lifecycle, from early R&D through product manufacturing.
• Lead exploratory analyses of functional genomic and molecular datasets to drive new insights.
• Create efficient computational pipelines and tools for analyzing and visualizing large-scale biological datasets.
• Work collaboratively with computational and laboratory scientists to execute complex analyses and streamline bioinformatics workflows.
• Read and provide feedback on scientific papers and emerging NGS technologies.
• Document, communicate, and present work to a broad audience both internally and externally in the form of meetings, presentations, and publications.

Primary Qualifications

• B.S.+ in Computer Science, or M.S./PhD in Quantitative Field.
• 2+ Years Engineering Experience
• Advanced knowledge of a modern data-focused programming language, e.g. Python, R.
• Advanced knowledge of Linux systems, including shell scripting and system administration.
• Advanced knowledge of Cloud Computing with AWS.

Preferred Qualifications

• Experience with Infrastructure-as-Code, esp. Terraform.
• Experience with Containers, esp. Docker.
• Experience with CI/CD, esp. GitHub Actions.
• Experience with Machine Learning infrastructure & methods.
• Experience with Scientific Data.

Technologies/Languages/Keywords:

• Python
• R
• Linux
• Shell Scripting
• JavaScript, TypeScript
• Git, GitHub, GitHub Actions
• AWS - Basic Network/Compute/Storage/IAM, Lambda, Batch, SageMaker 
• Terraform, HCL
• Distributed Systems design & implementation
• Bioinformatics: NGS, Nanopore, PacBio, Illumina
• Machine Learning
• Docker, Orchestration Systems
• Data Engineering