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. They 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. They have also established a pipeline for hair follicle regeneration using human induced pluripotent stem cells.

The Postdoctoral Associate will be developing their 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. 

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 generates functional predictions and testable hypotheses (e.g. using Cytoscape, IPA, WGCNA, NextBio)
• 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
• Writes reports, manuscripts, and applications for funding with increasing responsibility over time
• Works collaboratively across lab functions and train other junior lab staff as needed

Required Experience

• Ph.D. degree in bioinformatics, or biological sciences (including Computer Science, Bioinformatics, Biostatistics, Life Sciences) is required
• Studies with strong emphasis on bioinformatics related to the genetics of disease is a plus
• 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

Knowledge, Skills, and 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
• Demonstrated independent and critical thinking
• Excellent communication and teamwork skills
• Demonstrated strong publication record (at least one first-author publications)
• Embody the Institute’s core values of Commitment, Collaboration, Communication, Community and Compassion