Bioinformatician/Research Data Analyst 1 jobs in United States
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Stanford University School of Medicine · 1 day ago

Bioinformatician/Research Data Analyst 1

Stanford University School of Medicine is seeking a Bioinformatician/Research Data Analyst 1 to join the Curtis Laboratory's Cancer Computational and Systems Biology group. The role involves analyzing and interpreting large sequencing datasets and developing methodologies to enhance cancer diagnosis and treatment.

EducationHigher EducationMedical
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H1B Sponsor Likelynote

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
Other duties may also be assigned

Qualification

BioinformaticsBiostatisticsHigh-throughput sequencingUNIX/LinuxProgramming languagesMachine learningAlgorithm developmentAnalytical skillsCommunication skillsTeam skillsWriting skills

Required

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
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

Benefits

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.
At Stanford University, base pay represents only one aspect of the comprehensive rewards package.
The Cardinal at Work website 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.

Company

Stanford University School of Medicine

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Stanford University School of Medicine is the medical school of Stanford University. It is a sub-organization of Stanford University.

H1B Sponsorship

Stanford University School of Medicine 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
2025 (551)
2024 (499)
2023 (472)
2022 (390)
2021 (336)
2020 (260)

Funding

Current Stage
Late Stage
Total Funding
$10M
Key Investors
American Medical Association
2023-06-21Grant
2017-07-19Grant· $10M

Leadership Team

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Darius M. Moshfeghi
Chief of Retina Division: Vitreoretinal Surgery and Medical Diseases
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Quinton R. Markett
Research Professional, Utz Lab, Department of Medicine, Division of Immunology & Rheumatology
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