

Bioinformatics
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Bioinformatics Consultant in Waltham, MA, lasting 1 year at a competitive pay rate. Requires a Master's or PhD, 3+ years in bioinformatics, strong Python/Bash skills, and expertise in AWS, cloud infrastructure, and AI/ML model development.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
June 28, 2025
π - Project duration
More than 6 months
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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
#Bash #Deployment #Automation #Docker #Azure #Plotly #Computer Science #Python #GCP (Google Cloud Platform) #Libraries #Kubernetes #Data Analysis #AWS SageMaker #AWS (Amazon Web Services) #Scala #AI (Artificial Intelligence) #Programming #Cloud #Plotly Dash #Metadata #Visualization #ML (Machine Learning) #SageMaker
Role description
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Hello,
My name is Shannon, and I am a Recruiter with The Fountain Group. We are a national staffing firm and are currently seeking a -------- Bioinformatics Consultant for a prominent client of ours. This position is located in -- Waltham, MA. Details for the position are as follows:
Job Description:
Duration: 1 year
Key Responsibilities:
β’ Pipeline Management: Run and maintain NGS data analysis pipelines using automation tools such as Snakemake or Nextflow
β’ Infrastructure Development: Design and manage computing environments on HPC and cloud platforms such as AWS, GCP, DNAnexus, 7B, and AWS Sagemaker AI
β’ AI/ML Support: Develop, deploy, and benchmark AI/ML models for bioinformatics and genomic applications, including Retrieval-Augmented Generation (RAG) LLMs
β’ Automation & Agents: Build agents for routine analysis and automate metadata verification
β’ Visualization: Create user-friendly data visualization tools for scientists and research teams
β’ Containerization: Leverage tools such as Docker and Kubernetes for reproducible workflows and scalable deployments
Required Qualifications:
β’ Masterβs degree (minimum) or PhD in Bioinformatics, Computational Biology, Computer Science, or a related field
β’ 3+ years of professional experience in a pharma or academic setting involving:
β’ Bioinformatics pipeline development and automation
β’ Cloud infrastructure and environment configuration
β’ AI/ML model development and deployment
β’ Hands-on experience with NGS data analysis workflows
β’ Strong programming skills in Python and Bash
β’ Expertise with cloud platforms such as AWS (must-have), GCP, or Azure
β’ Familiarity with containerization technologies such as Docker and Kubernetes (preferred)
Preferred Experience:
β’ Benchmarking and optimizing AI/ML models
β’ Using platforms like DNAnexus, 7B, and AWS Sagemaker AI for scalable bioinformatics solutions
β’ Data visualization using scientific libraries (e.g., Plotly, Dash, Seaborn)
If you are interested in hearing more about the position please respond to this posting with your resume attached!