USA-Database Developer II (IT), Boston

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

 



 

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.

 



 

Reference #SNFIJP(phone number removed)

#ZR