Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
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  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.

Job Information

Stanford University Bioinformatician/Research Data Analyst 1 in Stanford, California

Bioinformatician/Research Data Analyst 1

School of Medicine, Stanford, California, United States

Information Analytics

Post Date Jul 15, 2022

Requisition # 95360

Situated in Stanford’s highly dynamic research environment the Curtis Laboratory (http://med.stanford.edu/curtislab.html), led by Christina Curtis, PhD, is seeking a bioinformatician/Research Data Analyst 1 to join the Cancer Computational and Systems Biology group. The Curtis Laboratory is administratively situated within the Stanford Cancer Institute and is integrated within Stanford University and the School of Medicine’s Departments of Medicine (Oncology) and Genetics. The SCI is part of a Comprehensive National Cancer Institute Cancer Center for cross-disciplinary research in cancer biology involving researchers from oncology, radiobiology, computer science, genetics, statistics, and basic/translational clinical research. Our research couples state-of-the-art computational and experimental techniques to define novel therapeutic targets and biomarkers and to characterize tumor evolution.

The successful candidate will be part of an interdisciplinary research team developing novel technological and methodological approaches to improve the diagnosis, treatment and earlier detection of cancer. He/she will analyze and interpret large sequencing datasets by applying and developing bioinformatics and statistical methods for whole genome/exome sequencing, RNA-seq, ATAC-seq, single cell and spatial datasets. The successful candidate will interact closely with other computational and experimental biologists and clinicians to test, validate, and refine hypotheses. This is a fantastic opportunity for a motivated bioinformatician or computational genomicist to join a dynamic team with significant opportunities for scholarship.

Duties include:

  • 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
**DESIRED QUALIFICATIONS:**

  • 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

**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.

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

Additional Information

  • Schedule: Full-time

  • Job Code: 4751

  • Employee Status: Regular

  • Grade: G

  • Requisition ID: 95360

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