The role requires a highly motivated, innovative, driven, and independent bioinformatics analyst who will perform analysis of the next generation sequencing (NGS) data generated in the Banchereau Laboratory (https://www.jax.org/research-and-faculty/research-labs/the-banchereau-lab). This is a highly collaborative environment with multiple projects in the field of Immunology and Cancer. Analyst is expected to collaborate, integrate, and communicate with the bench scientists conducting the experiments and generating the data. Major tasks include running and improving analytical pipelines to process transcriptomics (RNA-seq and Pacbio ISO-seq data) as well as epigenomics datasets (ATAC-seq) in a high-performance computing environment (cluster). Role will be directly supervised. Manager will determine assignment and prioritization of projects, as well as assessment of progress on projects, in direct consultation with analyst.
• Processing, visualization, and analysis of transcriptomics datasets, including Illumina RNA-seq and Pacbio ISO-seq long-read technology (60%) • Processing and analysis of epigenomics datasets generated by ATAC-seq (20%) • Implementing and running tools/packages for differential transcriptome and alternative splicing analyses in large in-house and public datasets, including TCGA (10%) • Arrange and deposit NGS data to appropriate public repositories (e.g., dbGaP, GEO, etc.) upon manuscript acceptance/publication (5%) • Implementing and/or developing publically-accessible databases to share Lab data and results with the biomedical research communities (5%)
• Level II requires MS or PhD degree in Bioinformatics or relevant biological sciences degree. Incumbents who have not achieved a PhD may compensate with a Master’s degree and at least five years of professional work experience in bioinformatics. Works with limited supervision for tasks performed. • Level III requires MS or PhD degree in Bioinformatics or relevant biological sciences degree. Incumbents who have not achieved the PhD level will have at least seven years professional work experience in the bioinformatics domain. Incumbents with a PhD will have completed a bioinformatics postdoctoral fellowship and/or have a minimum of two years of professional work experience in the bioinformatics domain. • Proficiency in R and Python programming languages • Strong knowledge of UNIX and shell programming • Previous experience in analyzing next-generation sequencing datasets (e.g. RNA-seq, ATAC-seq, ChIP-seq) • Capable of performing analysis in a high performance computing environment (cluster) • Preferred: Experience in Pacbio long-read sequencing datasets, especially in ISO-seq • Preferred: Knowledge in immunology and cancer research
What do we have to offer?
The Jackson Laboratory (www.jax.org) is a nonprofit biomedical research institute with over 1,800 employees across three campuses nationwide. Our mission is to discover precise genomic solutions for human disease, and to empower the global biomedical community in the shared quest to improve human health.
JAX offers a dynamic and supportive work environment, competitive salaries and a comprehensive benefits package including a medical plan, outstanding retirement plan, generous paid time off and tuition reimbursement. JAX offers an MBA program, a fitness center with an award-winning wellness program, and a fully operational primary care facility available to employees and their families.
Most importantly, every position contributes to JAX’s mission of discovering precise genomic solutions for human disease and empowering the global biomedical community in our shared quest to improve human health.