Staff Scientist, Bioinformatics/RWD
Core
Lead real-world evidence (RWE) analyses and predictive analytics by blending bioinformatics, AI, and machine learning to extract clinical insights from multimodal datasets (genomics, EHR, claims) for oncology, organ health, and women's health.
Role type
Staff Scientist, Bioinformatics/RWD
Builds
Actionable clinical insights, predictive models, and data visualizations to advance genomics applications in real-world clinical settings.
Domain
Biotech/Pharma, Genomics, Real-World Evidence (RWE)
Deliverable
production ML models | dashboards & analysis
Required skills
Bioinformatics (genomics, variant calling, CNV), AI/ML (Deep Learning, NLP, LLMs), Data Integration (EHR, claims, registries), SQL, Python/R, Project Management, Data Visualization
Preferred skills
Germline genetics, Translational medicine, OMOP common data models, Experience managing direct/indirect reports
Technologies
PyTorch, TensorFlow, Keras, SQL, Python, R
Responsibilities
Lead analysis of large-scale cancer and germline multi-omics datasets; Design and execute robust RWE studies; Develop and deploy AI/ML models for forecasting trends and biomarker discovery; Integrate unstructured clinical notes using NLP/LLMs; Oversee projects from inception to completion; Present complex data to non-expert stakeholders.
Seniority
Staff, hands-on IC with mentorship
