Bioinformatics Postdoctoral Associate

Bioinformatics Postdoctoral Associate

Sanford Burnham Prebys Medical Discovery Institute (SBP)

La Jolla, CA, United States

A postdoctoral associate opening is available in the laboratory
of Alexey Terskikh at the Sanford Burnham Prebys Medical Discovery Institute,
La Jolla, California.  SBP is a preeminent, independent biomedical
research institute dedicated to understanding human biology and disease, and
advancing scientific discoveries to profoundly impact human health. For over 40
years, our research has produced breakthroughs in cancer, neuroscience,
immunology and children’s diseases, and is anchored by our NCI-designated
cancer center and advanced drug discovery capabilities.


The Terskikh laboratory is thriving is at the intersection
of neurogenesis (including neural crest and adult hippocampal neurogenesis),
brain cancer (glioblastoma), and epigenetic regulation. We have established
mouse models of adult neurogenesis using conditional ablation of SOX2 and
primary cilia (Shh signaling) in radial glia stem cells and developed a novel
platform for microscopic imaging of epigenetic landscape (MIEL) in single cells.
MIEL uses advanced imaging and machine learning to investigate the change of
epigenetic signatures during cell differentiation and upon exposure to the
environment, including the high throughput drug screening format. The lab has
also established a pipeline for hair follicle regeneration using human induced
pluripotent stem cells. The Postdoctoral Associate will be developing his/her
own project while supporting several ongoing projects in the laboratory through
automating information and analysis pipelines, data integration,
pattern-matching analyses and visualization of a variety of different data
sets, including single cell sequencing, bulk NGS, ChIP-Seq, Nuc-Seq, ATAC-Seq, and


Primary Responsibilities

  • Utilizes heterogeneous high-throughput datasets
    (bulk RNA-Seq, single cell RNA-seq, proteomics) collected from cellular and
    animal models to discover networks and pathways and to generate functional
    predictions and testable hypotheses (e.g. using Cytoscape, IPA, WGCNA,

  • Independently designs and performs experiments
    and procedures with high degree of complexity, demonstrating increasing
    expertise with a wide range of techniques.

  • Supports projects directed by lab investigators
    and contributes to the general technical knowledge of researchers

  • Write reports, manuscripts, and application for
    funding with increasing responsibility over time

  • Works collaboratively across lab functions and
    train other junior lab staff as needed.


Knowledge, Skills, and Abilities

Qualified candidates should demonstrate strong ability in
bioinformatics, systems biology, sequence analyses, network analyses or
genetics including expertise in high-throughput data analyses, such as RNA-Seq,
single cell RNA-seq, differential gene expression analyses, gene co-expression
analyses, proteomics. Strong programming skills (Python, R, Java or C++ and
Unix/Linux shell) are a plus. The candidate should also be familiar with
algorithms and tools, such as Bowtie, cufflinks, BWA, STAR, RSEM, UCSC Genome
Browser, samtools, bedtools, vcf-tools etc. The knowledge of machine learning approaches
is a plus.

The successful candidate should have a demonstrated ability
for independent and critical thinking, excellent communication and teamwork
skills, and strong publication record (at least one first-author publication is




Required Experience

    PhD in
bioinformatics, or biological sciences (including Computer Science,
Bioinformatics, Biostatistics, Life Sciences) is required.  Strong emphasis on bioinformatics,
preferentially related to the genetics of disease is strongly preferred.

    The qualified
candidate must have strong experience in one or more of the following areas:
Bioinformatics, or in molecular biology and genetics or related discipline with
an emphasis on bioinformatics.

    1-2 years of
experience after PhD degree in Computer Science, Bioinformatics, or
Biostatistics with Biological or Life Science lab experience is preferred


Career site:



Burnham Prebys Medical Discovery Institute is an Equal
Opportunity employer – M/F/Veteran/Disability – committed to the hiring,
advancement and fair treatment of all individuals. All qualified applicants
will receive consideration for employment without regard to race, color,
religion, sex, sexual orientation, gender identity, national origin, age,
disability, protected veteran status, or any other protected status as
designated by federal, state or local law.
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