Title:- Protein engineering AI/ML (on W2) Location: Waltham, MA(Hybrid) Duration: Contract until May 2026 (Possible extension) Protein engineering AI/ML (binders design, RFDiffusion, Rosetta, structural biology, protein MPNN, protein language models (ESM, UniRep) experience. Hybrid work will be offered (1-2 days) 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. 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 librarie MINAKSHI SANGWAN Recruiting Lead - US Recruitment O 732-339-3518 E Minakshi.sangwan@aequor.com W http://www.aequor.com/