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Computational LSRP 1

Company: Stanford Medicine
Location: San Mateo
Posted on: November 17, 2022

Job Description:

Stanford University is seeking a Computational Life Science Research Professional 1 to join the Tony Wyss-Coray lab in the Neurology department which research brain aging and neurodegeneration with a focus on age-related cognitive decline and Alzheimer's disease. The lab is following up on earlier discoveries which showed circulatory blood factors can modulate brain structure and function, and factors from young organisms can rejuvenate old brains. Current studies focus on the molecular basis of this systemic communication with the brain by employing a combination of genetic, cell biology, and proteomics approaches in model organisms and humans.

The lab is part of the Glenn Center for Aging at Stanford University, the Stanford Neurosciences Institute's Brain Rejuvenation Project, The NIH Alzheimer's Disease Research Center, and it is funded by the American Heart Association / Allen Initiative, the National Institute on Aging, and the NOMIS Foundation

The successful candidate will be part of an interdisciplinary research team developing novel technological and methodological approaches to improve aging. He/she will analyze and interpret large sequencing datasets by applying and developing bioinformatics and statistical methods, RNA-seq, single cell, and proteomics data. The successful candidate will interact closely with other computational and experimental biologists to test, validate, and refine hypotheses. This is a fantastic opportunity for a motivated bioinformatician, computational geneticist to join a dynamic team

Duties include:

  • Design and plan bioinformatic analysis of data generated in the lab as well as data already published.
  • Analyze high-throughput data to understand aging and neurodegenerative disease such as Alzheimer's and Parkinson's disease.
  • Work with lab members to analyze biomedical data and address scientific problems with bioinformatics techniques
  • Manage and archive large data sets from next-generation sequencing experiments.
  • Present results and progress updates at lab meetings and make presentations to experimental and scientific collaborators.
  • Attend seminars, lectures, and training courses to learn new bioinformatic skills.
  • Review literature on an ongoing basis to remain current with new procedures and apply learnings to related research.
  • Contribute to publication of findings as needed. Participate in the preparation of written documents, including procedures, presentations, and proposals.
  • Share with the lab all programming code generated
  • Apply the theories and methods of a life science discipline to interpret and perform analyses of experiment results; offer suggestions regarding modifications to analytical design in collaboration with senior researcher. - Other duties may also be assigned

    DESIRED QUALIFICATIONS:
    • Prefer a degree in Bioinformatics, or Biological Sciences with evident computing experience.
    • Strong Linux system familiarity, high performance computing (HPC) experience preferred
    • Fluency in R, familiarity with python as well as shell scripting
    • Previous experience with NGS datasets, particularly gene expression analysis (RNAseq, sc/snRNAseq)
    • Familiarity with common bioinformatics tools (plink, bcftools/samtools, GATK, DESeq2)
    • Raw genetic data quality control, annotation and analysis experience preferred
    • Ability to troubleshoot & develop workflows with strong documentation.
    • Experience with algorithm development, website design and development using shinny or any other programming language
    • Previous experience in genomics or neuroscience is desirable. EDUCATION & EXPERIENCE (REQUIRED):

      Bachelor's degree in related scientific field.

      KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):
      • General understanding of scientific principles. Demonstrated performance to use knowledge and skills when needed.
      • Demonstrated ability to apply theoretical knowledge of science principals to problem solve work.
      • Ability to maintain detailed records of experiments and outcomes.
      • General computer skills and ability to quickly learn and master computer programs, databases, and scientific applications.
      • Ability to work under deadlines with general guidance.
      • Excellent organizational skills and demonstrated ability to accurately complete detailed work. PHYSICAL REQUIREMENTS :

        Position may require repetitive motion and extended time sitting at a computer.

        - 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.

        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 bases 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, . 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 visit

Keywords: Stanford Medicine, San Mateo , Computational LSRP 1, Other , San Mateo, California

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