GENERAL SUMMARY: Works with investigators and clinicians in the design, collection, processing, and analysis of study that generate data in one or more of the following domains: -omic (e.g., genomics, transcriptomics, epigenomics), imaging (e.g., medical imaging technologies and histopathologic images), electronic health records, and emerging bioinformatic data areas. Develops goals, methods, procedures, and analytic pipelines. Provides in-depth analysis of studies using a variety of computational/statistical methods, bioinformatics tools, and prepare interpretive reports. Applies both biological and bioinformatic skills to evaluate biomedical informatics data in single domains (e.g., SNP array and next-generation sequencing data) and/or integrate data across multiple domains and time points (e.g., computational biology). Devises and documents new approaches to analyze these data. Prepares proposal reviews and conduct seminars on statistical analyses as appropriate. Provides guidance on the work of other bioinformaticians and data processes. Acts as a technical resource and provides guidance to support personnel.
EDUCATION/EXPERIENCE REQUIRED: - Bachelor's degree in genetics or statistical genetics; pharmacology; biology (particularly molecular, evolutionary, or computational biology); biostatistics; bioinformatics; data mining; engineering with a healthcare focus, physics, or a comparable degree/training is required with four (4) years of experience. OR Master's degree in genetics or statistical genetics; pharmacology; biology (particularly molecular, evolutionary, or computational biology); biostatistics; bioinformatics; data mining; engineering with a healthcare focus, physics, or a comparable degree/training is required with two (2) years of experience.
- Experience working with statistical/bioinformatics software packages (e.g., R, Bioconductor, SAS), scientific programming skills (e.g., Python, C, Java, shell scripting), and knowledge in working in a Linux and/or command line environment required.
- Cloud computing skills and experience preferred.
- Alternatively, having deep knowledge in working with, collecting data, and cleaning data in the previously mentioned bioinformatics data domains may substitute for the previously mentioned experience.
- Excellent verbal and written communication skills are required to interact with research and clinical staff of various levels, as well as to assist in research grant applications, to present at scientific conferences, and to prepare and submit scientific manuscripts for publication.
- Strong understanding of clinical data, including diagnoses, procedures, medications, laboratory results, and clinical workflows.
- Experience with data collection, data cleaning, database querying, and clinical data management.
- Strong analytical and problem-solving skills, with excellent attention to detail and the ability to collaborate effectively with multidisciplinary teams.
- Familiarity with healthcare data coding systems (e.g., ICD and CPT).
- Understanding of patient privacy, data governance, and regulatory requirements related to healthcare data (e.g., HIPAA).
