Job Title: Cloud Infrastructure/ AI/ML Engineer Location: Waltham, MA (Hybrid) ​This position is year contract with the possibility of extension. Full-time, on-site at Waltham, MA.

Duration: Months

Pay rate: $/hr - $/hr on W

Position Overview

We are seeking an experienced Cloud Infrastructure/ AI/ML/ Data Engineer to support 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 pipelines execution, environment management, AI/ML model development/deployment, management of data for various bioinformatics workflows.

This position is year contract with possibility of extension. Full time, on site at Waltham, MA.

Required Experience

• + 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, B, DNAnexus, AWS Sagemaker AI)

• Strong background in NGS data analysis and pipeline automation

Key Responsibilities

• Pipeline Execution & Management: Run and maintain bioinformatics pipelines on cloud platforms

• Environment Management: Configure and support data/pipeline environments using B, and DNAnexus

• 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