Stanford University · 2 months ago
Bioinformatician/Research Data Analyst 1
Stanford University is seeking a Bioinformatician/Research Data Analyst 1 to join the Kalbasi Lab, which focuses on the intersection of cancer and the immune system. The role involves managing and analyzing high throughput next generation sequencing data, collaborating with faculty and research staff, and employing AI tools for protein design.
EducationHigher EducationUniversities
Responsibilities
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, 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
Qualification
Required
Bachelor's degree or a combination of education and relevant experience
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
Strong background in bioinformatics and biostatistics, including experience with analysis of next-generation sequencing data
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
Preferred
Bachelor's, MS, or PhD degree in Bioinformatics, Computation Biology or Computer Science or a related field with two years of relevant experience
Ideal candidates will also have experience with machine learning/AI tools, and experience with or interest in protein design
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
Benefits
Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position.
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.
Company
Stanford University
Stanford University is a teaching and research university that focuses on graduate programs in law, medicine, education, and business.
H1B Sponsorship
Stanford University has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2020 (12)
Funding
Current Stage
Late StageTotal Funding
$26.52MKey Investors
National Institutes of HealthCalifornia Institute for Regenerative MedicineGRAMMY Museum
2025-09-08Grant
2025-01-30Grant· $5.6M
2023-08-17Grant
Leadership Team
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