Bioinformatician/Research Data Analyst

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. DESIRED QUALIFICATIONS: 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. PHYSICAL REQUIREMENTS: Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. Occasionally use a telephone. Rarely writing by hand. WORKING CONDITIONS: Some work may be performed in a laboratory or field setting. WORK STANDARDS: 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. The expected pay range for this position is $66,560 to $97,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.

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