Job Title: AI/ML Data Scientist (Computational Chemistry) Location: Waltham, MA Schedule: Onsite 4 days per week, remote 1 day per week (Full-time, 40-hour schedule) Pay: $70-80 hourly (W2 only, no C2C/C2H), depending on experience level Contract: 12-month contract with potential for extension/conversion Qualifications: • MS or PhD graduate with experience with AI/ML infrastructure (protein language models a plus!), AWS (Cloud structures), and Programming. Job Description: • 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. • 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. • Protein language models (ex. ESM, UniRep, EVO, Alpha Fold, protein MPNN), or large language models, or other more recent AI/ML specialized applications