A Bioinformatics Specialist position is available in the lab of Prof. Peter D. Adams for ambitious, independent and motivated candidates to join the team investigating the epigenetics of aging and cancer at Sanford-Burnham-Prebys Medical Discovery Institute, San Diego. The successful candidate will use computational and bioinformatics approaches to investigate age-associated epigenetic events, derived from mouse tissues and cell culture models, are related to epigenetic hallmarks of aging and disease, most notably cancer. Datasets will include ChIP-seq, RNA-seq, ATAC-seq, DNA methyl-seq and other large-scale epigenomic and chromatin analyses, including at the single-cell level, as well as results from high throughput chemical and RNAi/CRISPR phenotypic screens.

Primary Responsibilities

• • Performs computational analysis and integration of large transcriptomic and epigenetic datasets
  • Provides access of public genetic, epigenetic and transcriptomic large datasets, for integration with those datasets generated in the lab
  • Utilizes existing lab data analysis pipelines
  • Builds new data analysis pipelines, e.g. for single cell RNA-seq and ATAC-seq.
  • Manages large dataset storage, in databases, lab wiki and lab UCSC browser
  • Presents results to lab members at weekly lab meetings
  • Presents results and data within SBP, local La Jolla meetings and national and international meetings, as appropriate
  • Maintains and initiates collaborations between Adams lab and other labs in SBP, San Diego, US and worldwide

Required Skills

Required Experience

• • Bachelor’s Degree in Bioinformatics, Biostatistics, or Life Sciences or equivalent studies AND a minimum of 5 years work experience OR a Master’s degree in Bioinformatics, Biostatistics, or Life Sciences or equivalent studies AND 3 years of work experience in related field OR Ph.D. in Computer Science, Bioinformatics, Biostatistics, or Life Sciences or equivalent studies, is required
  • Ph.D. degree in Computer Science, Bioinformatics, or Life Sciences or equivalent studies is preferred
  • Experience or background in molecular biology or biochemistry is preferred
  • Experience with Illumina NGS data analysis is preferred
  • Previous Postdoc training is not required

Knowledge, Skills and/or Abilities

• General familiarity with wet lab assays
• Excellent bioinformatics and programming skills (e.g. Perl, Python, C/C++, Java, R or Web applications)
• Strong command of Linux/UNIX operating system
• Strong knowledge and skills in bioinformatics, statistics and next-generation sequencing data analysis
• Ability to use current bioinformatics tools and have an in depth knowledge of advanced sequencing and array-based technologies
• Communicates effectively and collaborates well with Principal Investigators and their team members
• Have strong organizational and problem-solving skills
• Possesses strong attention to detail, analytical and time management skills
• Excellent communication and interpersonal skills
• Embody the Institute’s core values of Commitment, Collaboration, Communication, Community and Compassion