USA-Database Developer II (IT)

Position Title: Cloud Infrastructure/ AI/ML Engineer
Location: Waltham, MA
Pay Rate: $65/hr (+benefits)
Assignment Length: 1-year W2 Contract
Schedule: 100% onsite
Industry: Pharmaceutical
 
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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.
 
Key Responsibilities

• Pipeline Execution & Management: Run and maintain bioinformatics pipelines on cloud platforms
• Environment Management: Configure and support data/pipeline environments using 7B, 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

 
Must Have Experience

• Minimum 3+ years of experience in cloud infrastructure, AI/ML development, and bioinformatics pipeline management
• MS or PHD Degree
• Demonstrated expertise with various computing platforms (HPC high performance computing, AWS , 7B, DNAnexus, AWS Sagemaker AI)
• Cloud computing platforms (AWS, GCP) – Must have requirement AWS, similar
• Python and Bash (must have)
• Communications, strong communication
• Experience developing/deploying AI/ML frameworks

 
Preferred Experience

• Containerization technologies (Docker, Kubernetes)
• S3 AWS Storage, data storage, nice to have
• Experience with NGS data analysis workflows and automation (Snakemake, Nextflow)

 
Additional Notes
Open to candidates willing to relocate at own expense. Extension is possible. Free Parking onsite. Hybrid work will be offered (1-2 days). Manager is open to non-pharma/ bio tech industry experience academic research, etc.
 
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Reference #SNFIJP00009978
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