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Bioinformatician/Research Data Analyst 1Stanford UniversityLondon, England, United Kingdom

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Bioinformatician/Research Data Analyst 1

Stanford University
  • GB
    London, England, United Kingdom
  • GB
    London, England, United Kingdom

Über

Situated in Stanford’s highly dynamic research environment, The Kalbasi Lab studies the interface between cancer and the immune system to gain new insights that will inform advances in cancer immunotherapy and radiation therapy. The lab has a special interest in T cell therapies (CAR‑T, TCR‑T, TIL) and cytokine therapies, with a disease focus on sarcoma, melanoma and other solid tumors. To achieve this goal, the lab is by necessity versatile and multidisciplinary, integrating cell and protein engineering, T cell immunology, cancer biology, cell signaling, genomics and early phase clinical trials. Each approach generates large datasets that require computational analytics, including genomic sequencing data (RNA‑seq, ATAC‑seq, TCR‑seq, CITE‑seq, whole exome‑seq), proteomic data (phosphoproteomics, cytokine data), clinical data and AI‑machine learning for protein design.
Duties Include
Collect, manage and clean datasets.
Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data, and for protein design.
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, 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, MS, or PhD degree in Bioinformatics, Computational Biology or Computer Science or a related field with two years of relevant experience.
Strong background in bioinformatics and biostatistics, including experience with analysis of next‑generation sequencing data.
Ideal candidates will also have experience with machine learning/AI tools, and experience with or interest in protein design.
Experience and comfort in working within a UNIX/Linux environment.
Background in programming languages such as Python, R, Matlab, Perl.
Good communication and team skills and fluency in both spoken and written English.
Knowledge of techniques for analyzing tumor purity and clonal heterogeneity.
A background in oncology and/or immunology is preferred.
Knowledge of Monte Carlo based statistical methods.
Background in cancer biology.
Familiarity with predictive modeling and machine learning.
Skills in machine learning and data analysis software.
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
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 (http://adminguide.stanford.edu).
The expected pay range for this position is $80,148 to $99,773 per annum.
Stanford University provides pay ranges representing its good faith estimate of the salary or hourly wage the university reasonably expects to pay for a position upon hire. 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 at stanfordelr@stanford.edu. For all other inquiries, please submit 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.
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 the job.
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  • London, England, United Kingdom

Sprachkenntnisse

  • English
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