Database Developer III | Cloud Infrastructure | AI | ML Engineer - integrated resources : Job Details

Job Title: Database Developer III | Cloud Infrastructure | AI | ML Engineer Location: Waltham, MA 02451 - Hybrid Duration: 12 Months+ (Possible Extension) Pay range: $75 - $80/hr. on W2 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 or similar.
• Python and Bash (must have).
• Strong communication skills.
• Experience developing/deploying AI/ML frameworks.

Nice to Have / Preferred Experience:

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

Position Overview: We are seeking an experienced Cloud Infrastructure / AI/ML / Data Engineer to support a variety of projects across the Genomic Medicine Unit (GMU) research and platform work. This contractor role focuses on providing infrastructure solutions to enable AI/ML models development and applications. As such, the position will require pipelines execution, environment management, AI/ML model development/deployment, and management of data for various bioinformatics workflows. 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.

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.