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Stanford University Bioinformatics Research Associate (Research Engineer)(3 Year Fixed Term) in Stanford, California

Bioinformatics Research Associate (Research Engineer)(3 Year Fixed Term)

School of Medicine, Stanford, California, United States


Post Date Dec 14, 2021

Requisition # 92561

Bioinformatics Research Associate (Research Engineer)

3 Year Fixed Term

Situated in a highly dynamic research environment within Stanford University School of Medicine and the Stanford Cancer Institute, the Cancer Computational and Systems biology laboratory led by Prof. Christina Curtis is seeking a highly motivated Bioinformatics Research Associate (Research Engineer). The Bioinformatics Research Associate will be a key member of an interdisciplinary team that leverages high-throughput sequencing of tissue and plasma to study how tumors evolve and evade response to therapy towards the development of predictive and prognostic biomarkers. He/she will develop and apply bioinformatic and statistical methods to interpret genomic, epigenomic, transcriptomic and proteomic measurements from clinical cancer samples and organoid models and will work closely with a highly collaborative team of molecular, computational and clinical researchers. The successful candidate will have the opportunity to contribute to clinical translational studies and to work with novel technology platforms (including single cell and spatially resolved methods).


  • PhD in Bioinformatics, Computational Biology, Computer Science or Statistics.

  • In-depth familiarity in the analysis of next generation sequencing data and the use of bioinformatics tools accompanied by a relevant publication record.

  • Familiarity with machine learning, information theory and signal processing.

  • Fluency in multiple programming languages (C/C++, Perl, Python, R).

  • Experience working in a Unix/Linux environment and with high performance computing.

  • Excellent problem solving, written and oral communication skills .

  • Experience with algorithm development.

  • Commitment to reproducible research.


  • Experiene in machine learning.

  • Familiarity with molecular biology.

As an organization that receives federal funding, Stanford University has a COVID-19 vaccination requirement that will apply to all university employees, including those working remotely in the United States and applicable subcontractors. To learn more about COVID policies and guidelines for Stanford University Staff, please visithttps://cardinalatwork.stanford.edu/working-stanford/covid-19/interim-policies/covid-19-surveillance-testing-policy

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. Stanford welcomes applications from all who would bring additional dimensions to the University’s research, teaching and clinical missions.

Additional Information

  • Schedule: Full-time

  • Job Code: 6438

  • Employee Status: Fixed-Term

  • Grade: R99

  • Requisition ID: 92561