Computational LSRP 1
Company: Stanford Medicine
Location: San Mateo
Posted on: November 17, 2022
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
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
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
- 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
- Work with lab members to analyze biomedical data and address
scientific problems with bioinformatics techniques
- Manage and archive large data sets from next-generation
- 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
- 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
- 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
- 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
- Ability to troubleshoot & develop workflows with strong
- 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
- 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
- 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.
- Interpersonal Skills: Demonstrates the ability to work well
with Stanford colleagues and clients and with external
- 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
- 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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