Quantitative Data Sciences Core

Biostatistics:

• Early phase clinical trial design
• Research study design, including sample size power calculations
• Wide range of statistical analyses for basic science, population-based and clinical data

Bioinformatics:

• Pipelines for NGS Analysis (ChIP-seq and RNA-seq now, more to come)
• Pathway and Gene Set Enrichment Analysis
• Study Design and Consultation

Clinical Informatics:

• Software development for clinical trial informatics
• Life science focused web based development
• Disease based secure database and informatics tools for human subject research
• NMEDW clinical data analysis and reporting
• Machine learning and NLP based analysis of clinical text
• Coordination with clinical partners on EMR-based research and integration

In addition to the co-directors, each area includes faculty and staff who will work with Lurie Cancer Center members in providing expertise as needed. Core members also engage in the following general activities:

• Collaboration with cancer center members across all programs;
• Collaboration with cancer center members on both the Chicago and Evanston campuses
• Discussion about research objectives and hypotheses;
• Writing informatics and statistical sections for grant applications;
• Active collaboration through funded grant activity;
• Active co-authoring of research findings
• Interaction and integration with other cancer center cores as needed;
• Interaction and integration but not overlapping with cores and entities external to the cancer center as needed (NUCATS, IPHAM, CPS, CDSI, BCC, NUGENE, NUSeq);
• Development of new methodology in Biostatistics and Biomedical Analytics 
• Development and review of cancer related protocols;
• Education through individual contact, group seminars, journal clubs and fellow/junior faculty development;