Staff Data Scientist, Life Sciences AI (RWE & Meta-Analysis) at IMO Health | Torre
Staff Data Scientist, Life Sciences AI (RWE & Meta-Analysis)
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IMO Health

Staff Data Scientist, Life Sciences AI (RWE & Meta-Analysis)

IMO Health
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Emma
Emma
You’ll revolutionize healthcare AI and evidence generation.
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Full-time

Legal agreement: Employment

Compensation
USD170k - 250k/year
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Remote (for United States residents)
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Posted 7 months ago

Requirements and responsibilities

WHAT YOU'LL DO:Design and develop AI-driven software tools that enable clients to perform meta-analysis, systematic reviews, and real-world evidence (RWE) generation efficiently and accurately.Translate complex statistical and meta-analytic workflows into scalable, automated product features and user-facing applications.Collaborate with cross-functional teams to ensure scientific rigor, methodological validity, and usability of developed solutions.Leverage LLMs, prompt engineering, and information extraction techniques to automate literature review, data curation, and evidence synthesis from clinical and real-world data sources.Build and maintain scalable data and AI pipelines, integrating diverse data sources including structured, unstructured, and real-world datasets.Ensure compliance with data privacy, security, and regulatory standards across all data handling and model deployment activities.Implement modern software engineering and MLOps best practices, including CI/CD, testing, monitoring, and version control, to support scalable and reliable deployments.Evaluate emerging AI/ML and statistical technologies, drive proof-of-concept initiatives, and shape the technical roadmap for evidence-generation tools.Interpret and communicate insights effectively to both technical and non-technical stakeholders through visualizations, reports, and presentations.Mentor and support team members, fostering skill development in NLP, LLMs, and statistical modeling for healthcare applications.Champion a culture of scientific and technical excellence, continuous learning, and innovation in applying AI to healthcare and life sciences challenges.
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