Overview In this role you will lead EHR-driven phenotyping to support pharmacogenomics discovery. You will collaborate with clinicians, scientists, and data experts to co-develop high-throughput phenotyping algorithms and tools. You will work with large external biobanks and internal EHR data to advance phenotype extraction, curation, and method development. This position offers visibility in pharmacogenomics research and opportunities to innovate with new data and analytic approaches.
Responsibilities- Provide research support and deliver high-quality results by formulating an efficient analytical approach with the available data
- Deliver data files and document the analytical process; may participate in manuscript preparation
- Establish and document protocols or best practices for common research tasks and formulate analytical plans
- Evaluate and test new methods and technologies
- Contribute ideas to automate or improve existing analysis methods and implement improvements
- Participate in the department's developmental and interdepartmental projects
- Perform other duties to meet department and institutional goals
Key requirements- Bachelor's degree with 7+ years of relevant post-degree work in bioinformatics, cheminformatics, statistics/computer science (or related field)
- OR Master's degree with 5+ years of relevant experience
- OR PhD with 2+ years of relevant experience
- Significant experience in at least one programming or scripting language and at least one statistical package (R preferred)
- collaborative and cross-disciplinary communication
- independence in research and problem solving
- strong analytical thinking and attention to detail
- EHR-based phenotype extraction and curation
- terminology/ontology
- natural language processing
