Job Description :
Pay Range : $75.92hr - $80.92hr
Responsibilities :
Pipeline Execution and Management :
- Run and maintain bioinformatics pipelines on cloud platforms.
- Environment Management : Configure and support data / pipeline environments using 7B, and DNA nexus.
- AI Infrastructure : Set up and maintain environments for AI model development and inference (AWS Sagemaker AI).
- Data Visualization : Create intuitive visualization tools for bench scientists and present data effectively.
- LLM Development : Develop RAG (Retrieval-Augmented Generation) LLMs for Gene Therapy GMU use cases.
- Automation : Develop and deploy agents to optimize / run routine NGS analyses and automate metadata verification.
Technical Skills :
Cloud computing platforms (AWS, GCP).Containerization technologies (Docker, Kubernetes).Programming languages (Python, R, Bash).Experience with NGS data analysis workflows and automation (Snakemake, Nextflow).Experience developing / deploying AI / ML frameworks.Data visualization tools and libraries.We are seeking an experienced Cloud Infrastructure / AI / ML / Data Engineer to support a variety of projects across Genomic Medicine Unit (GMU) research and platform work.This contractor role focuses on providing infrastructure solutions to enable AI / ML models developments and applications.As such, the position will require pipeline execution, environment management, AI / ML model development / deployment, management of data for various bioinformatics workflows.This position is a 1 year contract with possibility of extension.Required Experience :
3+ years of experience in cloud infrastructure, AI / ML development, and bioinformatics pipeline management.Advanced degree (MS or PhD) in Bioinformatics, Computational Biology, Computer Science or related field.Demonstrated expertise with various computing platforms (HPC, 7B, DNAnexus, AWS Sagemaker AI).Strong background in NGS data analysis and pipeline automation.