Data Scientist RWE/RWD Life Sciences

Remote • Posted 19 hours ago • Updated 19 hours ago
Full Time
No Travel Required
Remote
$40 - $45/hr
Fitment

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Job Details

Skills

  • XGBoost
  • scikit-learn
  • Regulatory Compliance
  • Prompt Engineering
  • Microsoft Azure
  • Natural Language Processing
  • Machine Learning Operations (ML Ops)
  • LlamaIndex
  • Machine Learning (ML)
  • GitHub
  • Health Care
  • LangChain
  • Evaluation
  • Generative Artificial Intelligence (AI)
  • Electronic Health Record (EHR)
  • Data Science
  • Docker
  • Employment Authorization
  • Continuous Delivery
  • Continuous Integration
  • Analytics
  • Artificial Intelligence
  • Amazon S3
  • Amazon Web Services
  • API
  • Cloud Computing
  • DevOps
  • GC
  • Life Sciences
  • Management
  • RWD
  • Python
  • Science
  • Reasoning
  • Terraform

Summary

Job Title
Data Science Engineer (AI/ML, NLP, LLMs) - Remote (Healthcare Domain)
 
Job Description
 
About the Role:
We are seeking a highly skilled and independent Data Science Engineer to join our team for a high-impact contract opportunity. In this role, you will design, build, and deploy advanced AI/ML, NLP, and Generative AI solutions tailored for the Healthcare and Life Sciences domain. The ideal candidate brings a strong mix of statistical reasoning, advanced engineering (LLMs/MLOps), and deep experience handling complex clinical data
Key Responsibilities:
  • AI/LLM Development: Design and implement Generative AI solutions using frameworks like LangChain, LlamaIndex, or CrewAI.
  • Model Engineering: Build, train, and evaluate traditional machine learning models (Scikit-learn, XGBoost) and advanced NLP pipelines.
  • Production Deployment: Develop robust, scalable ML APIs using FastAPI and deploy them into production environments.
  • MLOps & Infrastructure: Implement MLOps best practices using Docker, Terraform, GitHub Actions, and Azure DevOps for automated CI/CD pipelines.
  • Cloud Engineering: Manage and optimize data and model pipelines natively within AWS (ECS, Lambda, S3).
  • Data Evaluation: Apply rigorous model validation techniques and evaluation metrics to ensure safety, accuracy, and compliance. 
Required Technical Skills & Qualifications:
  • Experience: 2+ years of professional Data Science and Machine Learning experience.
  • Core Language: Expert-level proficiency in Python.
  • Generative AI: Hands-on experience with LLMs, Prompt Engineering, and RAG frameworks (LangChain, LlamaIndex, etc.).
  • Core ML: Strong command over Scikit-learn, XGBoost, and statistical reasoning.
  • API Development: Proven experience building backend services with FastAPI.
  • Cloud & DevOps: Direct experience with AWS (ECS, Lambda, S3), Docker, and infrastructure-as-code (Terraform).
  • CI/CD: Experience setting up pipelines in GitHub Actions or Azure DevOps. 
Mandatory Healthcare Domain Experience:
  • Domain Knowledge: Must have direct project experience within Healthcare & Life Sciences.
  • Data Sources: Hands-on experience analyzing Real-World Data (RWD), Real-World Evidence (RWE), Claims, EHR/EMR, Clinical Data, and Patient Registries.
  • Solutions: Prior track record of building and deploying functional Healthcare Analytics or medical AI/ML solutions
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90767752
  • Position Id: 9054878
  • Posted 19 hours ago
Contact the job poster
SS

Srikanth Songa

Recruiter @ SATCON Inc
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