

Cloud Infrastructure/ AI/ML Protein Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is a Cloud Infrastructure/AI/ML Protein Engineer based in Waltham, MA, on a contract until May 2026, with a pay rate of "unknown." Requires 3+ years in cloud infrastructure, AI/ML development, and bioinformatics, plus advanced degree and specific protein engineering experience.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
640
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ποΈ - Date discovered
August 2, 2025
π - Project duration
More than 6 months
-
ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Waltham, MA
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π§ - Skills detailed
#Kubernetes #S3 (Amazon Simple Storage Service) #AI (Artificial Intelligence) #Storage #Computer Science #GCP (Google Cloud Platform) #Automation #Python #Libraries #Visualization #SageMaker #Cloud #Data Engineering #Metadata #R #AWS (Amazon Web Services) #Data Analysis #ML (Machine Learning) #AWS SageMaker #Programming #Deployment #Bash #Docker
Role description
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Job Title- Cloud Infrastructure/ AI/ML Engineer (Protein Engineering)
Location: Waltham, MA (Hybrid)02451
Duration: Contract till May 2026 with possibility to extend
Note: βCandidates with protein engineering AI/ML (binders design, RFDiffusion, Rosetta, structural biology, protein MPNN, protein language models (ESM, UniRep) experienceβ
Questionnaire:
What is the complete and official title of the highest level of education you have completed?
Please give us a summary of your most significant professional experience on each below (if any):
Cloud infrastructure
AI/ML development
bioinformatics pipeline management
Please mark all where you have experience with professionally
HPC high performance computing
AWS
7B
DNAnexus
AWS Sagemaker AI
Python
Bash
Docker
Kubernetes
S3 AWS Storage
Snakemake
Nextflow
Experience with AI/ML models development, benchmarking, design.
Do you have experience with Protein engineering AI/ML (binders design, RFDiffusion, Rosetta, structural biology, protein MPNN, protein language models (ESM, UniRep) ?
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
β’ 3+ years of experience in cloud infrastructure, AI/ML development, and bioinformatics pipeline management
β’ Advanced degree (MS or PhD) in Bioinformatics, Computational Biology, Computer Science or related field
β’ Demonstrated expertise with various computing platforms (HPC, 7B, DNAnexus, AWS Sagemaker AI)
β’ Strong background in NGS data analysis and pipeline automation
Key Responsibilities
β’ Pipeline Execution & Management: Run and maintain bioinformatics pipelines on cloud platforms
β’ Environment Management: Configure and support data/pipeline environments using 7B, and DNAnexus
β’ AI Infrastructure: Set up and maintain environments for AI model development and inference (AWS Sagemaker AI)
β’ Data Visualization: Create intuitive visualization tools for bench scientists and present data effectively
β’ LLM Development: Develop RAG (Retrieval-Augmented Generation) LLMs for Gene Therapy GMU use cases
β’ Automation: Develop and deploy agents to optimize/run routine NGS analyses and automate metadata verification
Technical Skills
β’ Cloud computing platforms (AWS, GCP)
β’ Containerization technologies (Docker, Kubernetes)
β’ Programming languages (Python, R, Bash)
β’ Experience with NGS data analysis workflows and automation (Snakemake, Nextflow)
β’ Experience developing/deploying AI/ML frameworks
β’ 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