Stanford University - Stanford, CA

posted 24 days ago

Full-time - Entry Level
Stanford, CA
Educational Services

About the position

The Curtis Laboratory at Stanford University is seeking a Bioinformatician/Research Data Analyst 1 to join its Cancer Computational and Systems Biology group. This position is situated within a highly dynamic research environment, integrated with the Stanford Cancer Institute and the School of Medicine's Departments of Medicine (Oncology) and Genetics. The laboratory focuses on cross-disciplinary research in cancer biology, involving collaboration among experts in oncology, radiobiology, computer science, genetics, statistics, and clinical research. The primary goal of the research is to couple advanced computational techniques with experimental methods to identify novel therapeutic targets and biomarkers, as well as to characterize tumor evolution. The successful candidate will be an integral part of an interdisciplinary team dedicated to developing innovative technological and methodological approaches aimed at enhancing cancer diagnosis, treatment, and early detection. Responsibilities will include analyzing and interpreting large sequencing datasets through the application and development of bioinformatics and statistical methods for various types of sequencing data, including whole genome/exome sequencing, RNA-seq, ATAC-seq, and single-cell and spatial datasets. The role will involve close collaboration with computational and experimental biologists and clinicians to test, validate, and refine research hypotheses. This position offers a unique opportunity for a motivated bioinformatician or computational genomicist to contribute to a dynamic team with significant opportunities for scholarly advancement.

Responsibilities

  • 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.

Requirements

  • 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 data.
  • Experience working within a UNIX/Linux environment.
  • Fluency in programming languages such as Perl, Python, Java, R, C, Matlab; MySQL.
  • Excellent communication and team skills and fluency in both spoken and written English.
  • Familiarity with machine learning, information theory and signal processing.
  • Experience with algorithm development.
  • Familiarity with basic molecular biology.
  • Background in cancer biology.

Nice-to-haves

  • Experience in a quantitative discipline such as economics, finance, statistics or engineering.
  • Substantial experience with MS Office and analytical programs.
  • Strong writing and analytical skills.
  • Ability to prioritize workload.

Benefits

  • Comprehensive rewards package including health insurance, retirement plans, and paid time off.
  • Opportunities for professional development and continuing education.
  • Access to Stanford's extensive range of benefits and rewards.
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