Bioinformatics Analyst/Research Associate

Overview:

The Linda Crnic Institute for Down Syndrome is seeking a highly skilled Bioinformatics Analyst/Research Associate to join our team of researchers studying various aspects of Down syndrome using multiple omics-based approaches. The successful candidate will be an integral member of a collaborative team and will be responsible for performing rigorous analysis and integration of multiple -omics datasets.

Responsibilities:

• Working collaboratively with other members of the team to provide high-level, professional, and scientifically rigorous data management and bioinformatic analyses

• Developing and implementing complex analysis pipelines, programming, and data visualization techniques for multi-layered -omics datasets
• Creatively and effectively integrating data from multiple sources to accelerate discoveries
• Thinking independently and creatively to identify and implement best-practice bioinformatic and data management solutions
• Creating and disseminating tools for all team members to access relevant clinical and sample data
• Collaborating with other team members to co-author abstracts, oral and poster presentations, and scientific manuscripts
• *Qualifications:** • Minimum Qualifications: + Ph.D. in Immunology, Bioinformatics, Molecular Biology, Computational Biology, or a related field such as Biostatistics + Three or more years of experience applying bioinformatic tools to next-generation sequencing data (e.g. RNA sequencing, ChIP-seq, microbiome) and/or related omics-level data + Strong programming skills in common languages/packages used for bioinformatic and statistical analysis (e.g. R/Bioconductor/Tidyverse, Python, Perl) + Strong knowledge of statistical principles relevant to biomedical research
• Preferred Qualifications: + Experience working with complex high-dimensional data sets in the field of immunology, including sc RNA-seq, CITE-seq, CyTOF, spacial transcriptomics, and spectral flow cytometry of immune cells subsets + Extensive knowledge of various immune cell subsets including myeloid cells, innate lymphoid cells, T cell subsets, and tissue-resident lymphoid cells + Special Skills: Strong knowledge of statistical principles relevant to biomedical research
• *Benefits:** • Medical: Multiple plan options
• Dental: Multiple plan options
• Additional Insurance: Disability, Life, Vision
• Retirement 401(a) Plan: Employer contributes 10% of your gross pay
• Paid Time Off: Accruals over the year
• Vacation Days: 22/year (maximum accrual 352 hours)
• Sick Days: 15/year (unlimited maximum accrual)
• Holiday Days: 10/year
• Tuition Benefit: Employees have access to this benefit on all CU campuses
• ECO Pass: Reduced rate RTD Bus and light rail service Apply tot his job Apply tot his job Apply tot his job