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Data Scientist RWE/RWD Life Sciences

SATCON IncUnited States🇺🇸United StatesPosted 13 Aug 2026

Why This Role Stands Out

This hybrid role offers exciting opportunities to leverage real-world data and advanced AI/ML techniques to drive impactful advancements in the life sciences sector, fostering significant career growth. You'll thrive here if you're a mid-senior data scientist passionate about innovation and eager to contribute to a reputable company. Apply now to join a dynamic team and shape the future of healthcare!

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

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

Skills

Docker
FastAPI
AWS
MLOps
Machine Learning
NLP
Scikit-learn
Azure
Generative AI
GitHub Actions
LLM
Python
Terraform

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