Bioinformatics Engineer
Job Title- Cloud Infrastructure/ AI/ML Engineer
Location: Waltham, MA (Hybrid)02451
Duration: Contract till May 2026 with possibility to extend
Cloud Infrastructure/ AI/ML Engineer
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 1 year contract with possibility of extension. Full time, on site at Waltham, MA.
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
Looking forward to hearing back from you!
Shubham Kumar
Aequor Technologies LLC
377 Hoes Lane, Suite 300
Piscataway, NJ 08854
732-307-0556
shubham.kumar@aequor.com
Job Title- Cloud Infrastructure/ AI/ML Engineer
Location: Waltham, MA (Hybrid)02451
Duration: Contract till May 2026 with possibility to extend
Cloud Infrastructure/ AI/ML Engineer
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 1 year contract with possibility of extension. Full time, on site at Waltham, MA.
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
Looking forward to hearing back from you!
Shubham Kumar
Aequor Technologies LLC
377 Hoes Lane, Suite 300
Piscataway, NJ 08854
732-307-0556
shubham.kumar@aequor.com
