- Schedule: Full-time
- Job Code: 4751
- Employee Status: Regular
- Grade: G
- Requisition ID: 102843
- Work Arrangement : Hybrid Eligible
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Bioinformatician/Research Data Analyst - Stanford, United States - InsideHigherEd
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Description
Bioinformatician/Research Data Analyst School of Medicine, Stanford, California, United States Information Analytics Apr 08, 2024 Post Date 102843 Requisition #The Esfahani Lab, in the Department of Radiation Oncology, is seeking a Research Data Analyst 1 to manage and analyze large amounts of genetic and epigenetic data for early cancer detection and disease monitoring, under the direction of Dr. Esfahani. Due to the nature of this position, there is an opportunity for high impact publications, and exposure to cutting-edge techniques and emerging technologies. Duties include*:- Collect, manage and clean datasets.Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data.Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements.Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions.Develop reports, charts, graphs and tables for use by investigators and for publication and presentation.Analyze data processes in documentation.Collaborate with faculty and research staff on data collection and analysis methods.Provide documentation based on audit and reporting criteria to investigators and research staff.Communicate with government officials, grant agencies and industry representatives.
- Master's or PhD degree in bioinformatics, computational biology, (bio)statistics, (electrical) engineering or related fields.Fluency in programming languages such as Python, R, Matlab, Perl; MySQL.Experience working with UNIX/Linux environment.Familiarity with machine learning, time series analysis and signal processing.Familiarity with high throughput sequencing data (DNA-based genotyping, RNA-seq, ATAC-seq, etc.).Experience in high-performance computing.
EDUCATION & EXPERIENCE (REQUIRED):Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering.KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):
- Substantial experience with MS Office and analytical programs.Strong writing and analytical skills.Ability to prioritize workload.
- Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.Occasionally use a telephone.Rarely writing by hand.
- Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide,