Situated in Stanford’s highly dynamic research environment the Curtis Laboratory (http://med.stanford.edu/curtislab.html), led by Christina Curtis, PhD, is seeking a bioinformatician/Research Data Analyst 1 to join the Cancer Computational and Systems Biology group. The Curtis Laboratory is administratively situated within the Stanford Cancer Institute and is integrated within Stanford University and the School of Medicine’s Departments of Medicine (Oncology) and Genetics. The SCI is part of a Comprehensive National Cancer Institute Cancer Center for cross-disciplinary research in cancer biology involving researchers from oncology, radiobiology, computer science, genetics, statistics, and basic/translational clinical research. Our research couples state-of-the-art computational and experimental techniques to define novel therapeutic targets and biomarkers and to characterize tumor evolution.
The successful candidate will be part of an interdisciplinary research team developing novel technological and methodological approaches to improve the diagnosis, treatment and earlier detection of cancer. He/she will analyze and interpret large sequencing datasets by applying and developing bioinformatics and statistical methods for whole genome/exome sequencing, RNA-seq, ATAC-seq, single cell and spatial datasets. The successful candidate will interact closely with other computational and experimental biologists and clinicians to test, validate, and refine hypotheses. This is a fantastic opportunity for a motivated bioinformatician or computational genomicist to join a dynamic team with significant opportunities for scholarship.
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.* - Other duties may also be assigned
DESIRED QUALIFICATIONS:
Bachelor’s degree (or higher) in Bioinformatics, Computer Science or a related field with one year (min) of relevant experience Strong background in bioinformatics and biostatistics, including analysis of high-throughput sequencing dataExperience working within a UNIX/Linux environmentFluency in programming languages such as Perl, Python, Java, R, C, Matlab; MySQLExcellent communication and team skills and fluency in both spoken and written EnglishFamiliarity with machine learning, information theory and signal processing.Experience with algorithm developmentFamiliarity with basic molecular biologyBackground in cancer biology
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.* - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.
WORKING CONDITIONS:
Some work may be performed in a laboratory or field setting.
WORK STANDARDS:
The expected pay range for this position is $82,468 to $106,256 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 (https://cardinalatwork.stanford.edu/benefits-rewards) 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.