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 has a POSTDOCTORAL ASSOCIATE opening. 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. We have 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 proteomics.
TO APPLY: Interested candidates should apply online to the SBP career site by submitting one PDF document with a cover letter, CV, references and list of any publications or accomplishments.
Required Skills Required Experience
Knowledge, Skills, and/or Abilities
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, and proteomics
Strong programming skills (Python, R, Java or C++ and Unix/Linux shell)
Familiarity with algorithms and tools, such as Bowtie, cufflinks, BWA, STAR, RSEM, UCSC Genome Browser, samtools, bedtools, vcf-tools etc
Knowledge of machine learning approaches is a plus
Demonstrated ability for independent and critical thinking, excellent communication and teamwork skills
Has strong publication record (at least one first-author publication is preferred)
Embody the Institute's core values of Commitment, Collaboration, Communication, Community and Compassion
Sanford 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. For additional information about your rights as an applicant, click HERE.