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Job Description
📋 Description Lead and conduct RWE analyses and predictive analytics across oncology, organ health, and women’s Apply AI/ML techniques to multimodal data (genomics, clinical, demographic) to derive actionable Visualize complex data to support genomics in real-world clinical settings. Manage projects from inception to completion with cross-functional collaboration. Integrate omics data with clinical/demographic data while maintaining data integrity and Develop and deploy AI/ML models (e.g., deep learning, NLP, ensemble methods) to forecast trends and 🎯 Requirements Ph.D. in Bioinformatics, Computational Biology, Genetics, or related field At least 10 years of relevant experience Proven genomics experience, including cancer genomics and molecular pathways Expert in bioinformatics tools: mapping, variant calling, CNV analysis, statistics Strong SQL, Python or R skills; data visualization proficiency Experience with NLP/LLMs for unstructured clinical data; OMOP data models a plus 🎁 Benefits Competitive benefits including medical, dental, vision, life and disability 401(k) with company match; generous PTO and holidays Long-term equity awards and wellness/work-life benefits
