Staff Data Scientist: AI-Driven Evidence Synthesis

CloudDevs; United States; On-site; USD 90,000 - 130,000; Full time

Job summary

CloudDevs is seeking a Staff Data Scientist to design and develop innovative AI-driven software tools in the healthcare domain. This role requires a strong foundation in statistical modeling, deep learning technologies, and practical experience in cross-functional team collaboration.

The ideal candidate will possess a PhD or master's with extensive experience, driving critical AI innovations that empower healthcare professionals to conduct advanced evidence synthesis effectively.

Qualifications

• PhD preferred or Master’s with 8+ years of experience in Biostatistics, Bioinformatics, or related field.
• Deep understanding of statistical modeling and evidence synthesis techniques.
• Strong background in NLP and AI principles, focusing on LLMs.

Responsibilities

• Design and develop AI-driven software tools for meta-analysis.
• Collaborate with cross-functional teams to ensure scientific rigor.
• Build and maintain scalable data and AI pipelines.

Skills

Statistical modeling

AI/LLM technologies

Meta-analysis methodologies

Python

NLP

Data privacy and security

Education

PhD or Master’s with 8+ years experience

Tools

PyTorch

TensorFlow

Hugging Face Transformers

LangChain

scikit-learn

PostgreSQL

Job description

CloudDevs is seeking a Staff Data Scientist to design and develop innovative AI-driven software tools in the healthcare domain. This role requires a strong foundation in statistical modeling, deep learning technologies, and practical experience in cross-functional team collaboration.

The ideal candidate will possess a PhD or master's with extensive experience, driving critical AI innovations that empower healthcare professionals to conduct advanced evidence synthesis effectively.