Database Developer II, Boston

Job Title: Database Developer II

Location: Waltham, MA 

Duration: 12 Months+ Possible Extension

Pay range: $60 - $64/hr. on W2

Manager Notes:

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,similiar

Python and Bash (must have)

Communications, strong communication

Experience developing/deploying AI/ML frameworks

 

Nice to Have/ Preferred experience:

Containerization technologies (Docker, Kubernetes)

S3 AWS Storage, data storage, nice to have

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 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.

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