Data Scientist

• 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.

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

Data Scientist I, Real World Data Science

Data Scientist II

Data Scientist

Junior Data Scientist

Senior Data Scientist, Product Growth