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Bioinformatician/Data Analyst
Company Information
About us:
Case Western Reserve University (CWRU) is among the nation's leading private research institutions. Founded in 1826, CWRU is distinguished by its strengths in education, research, service, and experiential learning. CWRU School of Medicine (SOM) is ranked nationwide in the top 25 research medical schools and in the top 20 for research funding from the National Institutes of Health. The SOM's research program began in 1887 and since then, faculty and alumni have accomplished major achievements in the medical field. Among its former and current faculty and alumni are eight Nobel laureates, six members of the Institute of Medicine, two members of the National Academy of Sciences, two U.S. Surgeon Generals and the first woman director of the Center for Disease Control. One of the primary goals of the SOM is to conduct cutting-edge biomedical research that leads to improvement in clinical care and the development of new knowledge in the biomedical sciences. The SOM has over 850 medical students, 1,000 graduate students and over 1,500 full time faculty populating 30 clinical and basic science departments.
The CWRU SOM is affiliated with some of the best hospitals in the United States, such as University Hospitals Case Medical Center (UHCMC), Cleveland Clinic Foundation (CCF), The Metro Health System (MHS) and Louis Stokes Cleveland Department of Veterans Affairs Medical Center. Through these partnerships, cutting-edge technologies, research facilities and collaborative opportunities are accessible to our research team. The successful candidate will have chances to work with researchers in the Case Comprehensive Cancer Center (CCCC), Cleveland Alzheimer’s Disease Research Center (CADRC), Case Western Reserve University for AIDS Research (Case CFAR), and The Cleveland Functional Electrical Stimulation (FES) Center.
Working under minimal supervision, the will play a leadership role in all aspects of data analysis, data management, software deployment, and report generation. The analyst is responsible for analysis of data from a variety of sources to support research projects and other efforts, within the School of Medicine, in other parts of the university, as well as with partner institutions (e.g., Cleveland Clinic). The analyst will participate in multiple projects related to multi-omics research and update the PI with weekly report of progress.
The research goal is to utilize data-driven approach and statistical methods to translate the large medical data from benchwork to knowledge in precision medicine. We and our partners aim to integrate state-of-art biotechnologies with various types of data science to make biomedical discoveries. Candidates can gain experience in analysis of omics data, imaging, and biomarker identification. This position offers candidates with career opportunities in advancing biomedical data analytics and project management skills.
1. Statistical skills for data analysis, including analysis of longitudinal data required.
2. Bioinformatics and Programming skills in sequence processing, statistical program R and scripting languages such as Python/Perl on Unix/Linux systems required.
3. Ability to learn new technologies quickly and without formal training required.
4. Accountability/integrity, customer/quality focus, diversity/maturity, flexibility/receptivity, interpersonal relations, leadership/supervision, initiative, planning/organizing, problem solving, decision making, project management, self-development, teamwork, ability to work with minimal supervision required.
5. Excellent written and verbal English communication skills required.
6. Strong background/understanding of medical terminology, biology, genetics/genomics, and clinical trials preferred.
7. Ability to meet consistent attendance. Ability to interact with colleagues, supervisors, and customers face to face.
8. Top candidates should have quantitative background in multi-omics, neuroimaging, machine learning, tree-based methods, variable selection, Bayesian analysis, and experience leading and collaborating on teams.