Full-Time Staff 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.
• Build and maintain scalable data and AI pipelines.
• Ensure compliance with data privacy, security, and regulatory standards.
• Implement modern software engineering and MLOps best practices.
• Evaluate emerging AI/ML and statistical technologies and shape the technical roadmap.
• Interpret and communicate insights effectively.
• Mentor and support team members.
• Champion a culture of scientific and technical excellence.

• PhD preferred (or Master’s with 8+ years of experience) in Biostatistics, Bioinformatics, Computer Science, Health Informatics, or a related field.
• Deep understanding of statistical modeling, meta-analysis methodology, and evidence synthesis techniques.
• Strong background in NLP, and AI principles, with a focus on LLMs, prompt engineering, and information extraction from scientific text.
• Proficiency in Python and major ML/NLP frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, and scikit-learn.
• Demonstrated experience designing and deploying AI-driven analytical tools or platforms, including LLM-based workflows.
• Familiarity with vector databases and knowledge graph or semantic data modeling.
• Strong grasp of experimental design, statistical inference, and validation methods.
• Experience in biomedical or healthcare data analysis, including integration of real-world data sources.
• Understanding of data privacy, ethics, and regulatory requirements in healthcare.
• Proven ability to collaborate cross-functionally with engineers, scientists, domain experts and clients.
• Excellent communication, documentation, and presentation skills.

What is the last date for applying to the job?

Which countries are accepted for this remote job?