Staff Data Scientist - Remote

Overview

At IMO Health, a core team of software developers, data scientists, and domain experts combine computer science, healthcare, and life sciences expertise to help professionals access high-quality health information quickly and easily. We are seeking a Staff Data Scientist with deep expertise in statistical modeling, meta-analysis methodologies, AI/LLM technologies, and real-world evidence (RWE) generation to help design and develop innovative tools that empower clients to conduct advanced evidence synthesis and analysis.

In Short

• Design and develop AI-driven software tools for meta-analysis and RWE generation.
• Translate complex workflows into scalable product features.
• Collaborate with cross-functional teams for scientific rigor and usability.
• Leverage LLMs and information extraction techniques for automation.
• Build and maintain scalable data and AI pipelines.
• Ensure compliance with data privacy and regulatory standards.
• Implement MLOps best practices for reliable deployments.
• Evaluate AI/ML technologies and shape technical roadmaps.
• Communicate insights effectively to stakeholders.
• Mentor team members in NLP and statistical modeling.

Requirements

• PhD or Master’s with 8+ years of experience in relevant fields.
• Deep understanding of statistical modeling and evidence synthesis techniques.
• Strong background in NLP and AI principles.
• Proficiency in Python and ML/NLP frameworks.
• Experience in designing AI-driven analytical tools.
• Familiarity with vector databases and knowledge graph modeling.
• Strong grasp of experimental design and statistical inference.
• Experience in healthcare data analysis.
• Understanding of data privacy and regulatory requirements.
• Excellent communication and mentoring skills.

Benefits

• Opportunity to drive AI-powered innovation in healthcare.
• Collaborative work environment with cross-functional teams.
• Mentorship and professional development opportunities.
• Engagement in impactful projects in the life sciences domain.
• Culture of scientific and technical excellence.